MilaWang commited on
Commit
5e526ac
·
verified ·
1 Parent(s): e9bdb9f

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/README.md +202 -0
  2. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/adapter_config.json +29 -0
  3. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/adapter_model.safetensors +3 -0
  4. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/README.md +202 -0
  5. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/adapter_config.json +29 -0
  6. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/adapter_model.safetensors +3 -0
  7. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/optimizer.pt +3 -0
  8. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/rng_state.pth +3 -0
  9. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/scheduler.pt +3 -0
  10. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/special_tokens_map.json +24 -0
  11. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/tokenizer.json +0 -0
  12. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/tokenizer.model +3 -0
  13. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/tokenizer_config.json +0 -0
  14. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/trainer_state.json +111 -0
  15. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/training_args.bin +3 -0
  16. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/README.md +202 -0
  17. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/adapter_config.json +29 -0
  18. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/adapter_model.safetensors +3 -0
  19. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/optimizer.pt +3 -0
  20. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/rng_state.pth +3 -0
  21. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/scheduler.pt +3 -0
  22. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/special_tokens_map.json +24 -0
  23. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/tokenizer.json +0 -0
  24. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/tokenizer.model +3 -0
  25. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/tokenizer_config.json +0 -0
  26. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/trainer_state.json +196 -0
  27. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/training_args.bin +3 -0
  28. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/README.md +202 -0
  29. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/adapter_config.json +29 -0
  30. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/adapter_model.safetensors +3 -0
  31. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/optimizer.pt +3 -0
  32. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/rng_state.pth +3 -0
  33. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/scheduler.pt +3 -0
  34. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/special_tokens_map.json +24 -0
  35. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/tokenizer.json +0 -0
  36. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/tokenizer.model +3 -0
  37. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/tokenizer_config.json +0 -0
  38. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/trainer_state.json +281 -0
  39. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/training_args.bin +3 -0
  40. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/README.md +202 -0
  41. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/adapter_config.json +29 -0
  42. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/adapter_model.safetensors +3 -0
  43. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/optimizer.pt +3 -0
  44. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/rng_state.pth +3 -0
  45. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/scheduler.pt +3 -0
  46. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/special_tokens_map.json +24 -0
  47. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/tokenizer.json +0 -0
  48. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/tokenizer.model +3 -0
  49. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/tokenizer_config.json +0 -0
  50. Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/trainer_state.json +366 -0
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.1
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a80ee85d721fe98d44a06417da87c840951dbfc6ab7041e5ba290508913c297
3
+ size 109069176
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.1
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a80ee85d721fe98d44a06417da87c840951dbfc6ab7041e5ba290508913c297
3
+ size 109069176
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6efbab85d8ff9a471652c99879a57a14271980a2ffd4db1f473a1efb2d5e491
3
+ size 55532538
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:137425850619c02e537c416f9045f9fdd56a25e6b33c36cdeadabd8c482b773f
3
+ size 14244
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95f49ce2bea14f969598df6bfc16288fa3eeb6f87b48c00b59474ec1884a68cf
3
+ size 1064
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
+ size 587404
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/trainer_state.json ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0734331607818604,
3
+ "best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108",
4
+ "epoch": 1.0,
5
+ "eval_steps": 10,
6
+ "global_step": 108,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09259259259259259,
13
+ "grad_norm": 1.0846197605133057,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.7995,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.18518518518518517,
20
+ "grad_norm": 0.7533441781997681,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5384,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.2777777777777778,
27
+ "grad_norm": 0.6439118981361389,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.4743,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.37037037037037035,
34
+ "grad_norm": 0.634631872177124,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2467,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.46296296296296297,
41
+ "grad_norm": 0.5935903787612915,
42
+ "learning_rate": 0.0002,
43
+ "loss": 1.152,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.5555555555555556,
48
+ "grad_norm": 0.5972248911857605,
49
+ "learning_rate": 0.0002,
50
+ "loss": 1.1333,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.6481481481481481,
55
+ "grad_norm": 0.6778728365898132,
56
+ "learning_rate": 0.0002,
57
+ "loss": 1.1097,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.7407407407407407,
62
+ "grad_norm": 0.8064132332801819,
63
+ "learning_rate": 0.0002,
64
+ "loss": 1.0879,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.8333333333333334,
69
+ "grad_norm": 0.5745105743408203,
70
+ "learning_rate": 0.0002,
71
+ "loss": 1.0926,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.9259259259259259,
76
+ "grad_norm": 0.5176246762275696,
77
+ "learning_rate": 0.0002,
78
+ "loss": 1.0709,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_loss": 1.0734331607818604,
84
+ "eval_runtime": 5.4801,
85
+ "eval_samples_per_second": 5.474,
86
+ "eval_steps_per_second": 0.73,
87
+ "step": 108
88
+ }
89
+ ],
90
+ "logging_steps": 10,
91
+ "max_steps": 864,
92
+ "num_input_tokens_seen": 0,
93
+ "num_train_epochs": 8,
94
+ "save_steps": 200,
95
+ "stateful_callbacks": {
96
+ "TrainerControl": {
97
+ "args": {
98
+ "should_epoch_stop": false,
99
+ "should_evaluate": false,
100
+ "should_log": false,
101
+ "should_save": true,
102
+ "should_training_stop": false
103
+ },
104
+ "attributes": {}
105
+ }
106
+ },
107
+ "total_flos": 4738470484377600.0,
108
+ "train_batch_size": 1,
109
+ "trial_name": null,
110
+ "trial_params": null
111
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3d43901d0e1136f7636f7a57eb5c6b0704802c4aaac2b9cddfcfd664700f507
3
+ size 5560
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.1
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05f139ac460452b4021ff08bbe89f383856c40a29c28acb1108af036110dfda7
3
+ size 109069176
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50c1ff97b863e26e0da010c35dfee6ecb70e5dee11de84719730f307d16ba604
3
+ size 55532538
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71356cedd1ac1229e2b319e1ed2effedd736c75b395e059fbeb651b0dc72008d
3
+ size 14244
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc51f9a8a3ca31cb31a3a29644a4e7f5e255fc732f24248b1fee305d561e9d55
3
+ size 1064
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
+ size 587404
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/trainer_state.json ADDED
@@ -0,0 +1,196 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0734331607818604,
3
+ "best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108",
4
+ "epoch": 2.0,
5
+ "eval_steps": 10,
6
+ "global_step": 216,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09259259259259259,
13
+ "grad_norm": 1.0846197605133057,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.7995,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.18518518518518517,
20
+ "grad_norm": 0.7533441781997681,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5384,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.2777777777777778,
27
+ "grad_norm": 0.6439118981361389,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.4743,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.37037037037037035,
34
+ "grad_norm": 0.634631872177124,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2467,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.46296296296296297,
41
+ "grad_norm": 0.5935903787612915,
42
+ "learning_rate": 0.0002,
43
+ "loss": 1.152,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.5555555555555556,
48
+ "grad_norm": 0.5972248911857605,
49
+ "learning_rate": 0.0002,
50
+ "loss": 1.1333,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.6481481481481481,
55
+ "grad_norm": 0.6778728365898132,
56
+ "learning_rate": 0.0002,
57
+ "loss": 1.1097,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.7407407407407407,
62
+ "grad_norm": 0.8064132332801819,
63
+ "learning_rate": 0.0002,
64
+ "loss": 1.0879,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.8333333333333334,
69
+ "grad_norm": 0.5745105743408203,
70
+ "learning_rate": 0.0002,
71
+ "loss": 1.0926,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.9259259259259259,
76
+ "grad_norm": 0.5176246762275696,
77
+ "learning_rate": 0.0002,
78
+ "loss": 1.0709,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_loss": 1.0734331607818604,
84
+ "eval_runtime": 5.4801,
85
+ "eval_samples_per_second": 5.474,
86
+ "eval_steps_per_second": 0.73,
87
+ "step": 108
88
+ },
89
+ {
90
+ "epoch": 1.0185185185185186,
91
+ "grad_norm": 0.4202083647251129,
92
+ "learning_rate": 0.0002,
93
+ "loss": 1.0405,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.1111111111111112,
98
+ "grad_norm": 0.5589748620986938,
99
+ "learning_rate": 0.0002,
100
+ "loss": 1.0114,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.2037037037037037,
105
+ "grad_norm": 0.5884681940078735,
106
+ "learning_rate": 0.0002,
107
+ "loss": 0.9608,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.2962962962962963,
112
+ "grad_norm": 0.6308313608169556,
113
+ "learning_rate": 0.0002,
114
+ "loss": 0.9474,
115
+ "step": 140
116
+ },
117
+ {
118
+ "epoch": 1.3888888888888888,
119
+ "grad_norm": 0.7051475644111633,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.9654,
122
+ "step": 150
123
+ },
124
+ {
125
+ "epoch": 1.4814814814814814,
126
+ "grad_norm": 0.6816942095756531,
127
+ "learning_rate": 0.0002,
128
+ "loss": 1.0027,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 1.574074074074074,
133
+ "grad_norm": 0.6152938604354858,
134
+ "learning_rate": 0.0002,
135
+ "loss": 0.9732,
136
+ "step": 170
137
+ },
138
+ {
139
+ "epoch": 1.6666666666666665,
140
+ "grad_norm": 0.6212341785430908,
141
+ "learning_rate": 0.0002,
142
+ "loss": 1.0195,
143
+ "step": 180
144
+ },
145
+ {
146
+ "epoch": 1.7592592592592593,
147
+ "grad_norm": 0.5540194511413574,
148
+ "learning_rate": 0.0002,
149
+ "loss": 1.0144,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 1.8518518518518519,
154
+ "grad_norm": 0.7914405465126038,
155
+ "learning_rate": 0.0002,
156
+ "loss": 0.96,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 1.9444444444444444,
161
+ "grad_norm": 0.5660528540611267,
162
+ "learning_rate": 0.0002,
163
+ "loss": 0.9895,
164
+ "step": 210
165
+ },
166
+ {
167
+ "epoch": 2.0,
168
+ "eval_loss": 1.0766535997390747,
169
+ "eval_runtime": 5.4884,
170
+ "eval_samples_per_second": 5.466,
171
+ "eval_steps_per_second": 0.729,
172
+ "step": 216
173
+ }
174
+ ],
175
+ "logging_steps": 10,
176
+ "max_steps": 864,
177
+ "num_input_tokens_seen": 0,
178
+ "num_train_epochs": 8,
179
+ "save_steps": 200,
180
+ "stateful_callbacks": {
181
+ "TrainerControl": {
182
+ "args": {
183
+ "should_epoch_stop": false,
184
+ "should_evaluate": false,
185
+ "should_log": false,
186
+ "should_save": true,
187
+ "should_training_stop": false
188
+ },
189
+ "attributes": {}
190
+ }
191
+ },
192
+ "total_flos": 9476940968755200.0,
193
+ "train_batch_size": 1,
194
+ "trial_name": null,
195
+ "trial_params": null
196
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-216/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3d43901d0e1136f7636f7a57eb5c6b0704802c4aaac2b9cddfcfd664700f507
3
+ size 5560
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.1
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab4c656990158ae29dac995033b4da43fb7595137b5d883852121d403251872d
3
+ size 109069176
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc17c07229997b79e6a573f0bf5a7a58c4f9a2cd729cd17d0b4fbc69bd3895b6
3
+ size 55532666
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d36b53b7275b1d8d790ad7e6f8260bf72c0fb72cd81f1a16af99bcdfe7cb31b
3
+ size 14244
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9076bfe99ac2f422768ef1523073134e83cbd1203b0b26f038c0a5ececadbe64
3
+ size 1064
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
+ size 587404
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/trainer_state.json ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0734331607818604,
3
+ "best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108",
4
+ "epoch": 3.0,
5
+ "eval_steps": 10,
6
+ "global_step": 324,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09259259259259259,
13
+ "grad_norm": 1.0846197605133057,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.7995,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.18518518518518517,
20
+ "grad_norm": 0.7533441781997681,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5384,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.2777777777777778,
27
+ "grad_norm": 0.6439118981361389,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.4743,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.37037037037037035,
34
+ "grad_norm": 0.634631872177124,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2467,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.46296296296296297,
41
+ "grad_norm": 0.5935903787612915,
42
+ "learning_rate": 0.0002,
43
+ "loss": 1.152,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.5555555555555556,
48
+ "grad_norm": 0.5972248911857605,
49
+ "learning_rate": 0.0002,
50
+ "loss": 1.1333,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.6481481481481481,
55
+ "grad_norm": 0.6778728365898132,
56
+ "learning_rate": 0.0002,
57
+ "loss": 1.1097,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.7407407407407407,
62
+ "grad_norm": 0.8064132332801819,
63
+ "learning_rate": 0.0002,
64
+ "loss": 1.0879,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.8333333333333334,
69
+ "grad_norm": 0.5745105743408203,
70
+ "learning_rate": 0.0002,
71
+ "loss": 1.0926,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.9259259259259259,
76
+ "grad_norm": 0.5176246762275696,
77
+ "learning_rate": 0.0002,
78
+ "loss": 1.0709,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_loss": 1.0734331607818604,
84
+ "eval_runtime": 5.4801,
85
+ "eval_samples_per_second": 5.474,
86
+ "eval_steps_per_second": 0.73,
87
+ "step": 108
88
+ },
89
+ {
90
+ "epoch": 1.0185185185185186,
91
+ "grad_norm": 0.4202083647251129,
92
+ "learning_rate": 0.0002,
93
+ "loss": 1.0405,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.1111111111111112,
98
+ "grad_norm": 0.5589748620986938,
99
+ "learning_rate": 0.0002,
100
+ "loss": 1.0114,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.2037037037037037,
105
+ "grad_norm": 0.5884681940078735,
106
+ "learning_rate": 0.0002,
107
+ "loss": 0.9608,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.2962962962962963,
112
+ "grad_norm": 0.6308313608169556,
113
+ "learning_rate": 0.0002,
114
+ "loss": 0.9474,
115
+ "step": 140
116
+ },
117
+ {
118
+ "epoch": 1.3888888888888888,
119
+ "grad_norm": 0.7051475644111633,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.9654,
122
+ "step": 150
123
+ },
124
+ {
125
+ "epoch": 1.4814814814814814,
126
+ "grad_norm": 0.6816942095756531,
127
+ "learning_rate": 0.0002,
128
+ "loss": 1.0027,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 1.574074074074074,
133
+ "grad_norm": 0.6152938604354858,
134
+ "learning_rate": 0.0002,
135
+ "loss": 0.9732,
136
+ "step": 170
137
+ },
138
+ {
139
+ "epoch": 1.6666666666666665,
140
+ "grad_norm": 0.6212341785430908,
141
+ "learning_rate": 0.0002,
142
+ "loss": 1.0195,
143
+ "step": 180
144
+ },
145
+ {
146
+ "epoch": 1.7592592592592593,
147
+ "grad_norm": 0.5540194511413574,
148
+ "learning_rate": 0.0002,
149
+ "loss": 1.0144,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 1.8518518518518519,
154
+ "grad_norm": 0.7914405465126038,
155
+ "learning_rate": 0.0002,
156
+ "loss": 0.96,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 1.9444444444444444,
161
+ "grad_norm": 0.5660528540611267,
162
+ "learning_rate": 0.0002,
163
+ "loss": 0.9895,
164
+ "step": 210
165
+ },
166
+ {
167
+ "epoch": 2.0,
168
+ "eval_loss": 1.0766535997390747,
169
+ "eval_runtime": 5.4884,
170
+ "eval_samples_per_second": 5.466,
171
+ "eval_steps_per_second": 0.729,
172
+ "step": 216
173
+ },
174
+ {
175
+ "epoch": 2.037037037037037,
176
+ "grad_norm": 0.5890535712242126,
177
+ "learning_rate": 0.0002,
178
+ "loss": 0.9586,
179
+ "step": 220
180
+ },
181
+ {
182
+ "epoch": 2.1296296296296298,
183
+ "grad_norm": 0.8267788290977478,
184
+ "learning_rate": 0.0002,
185
+ "loss": 0.8198,
186
+ "step": 230
187
+ },
188
+ {
189
+ "epoch": 2.2222222222222223,
190
+ "grad_norm": 0.8804293870925903,
191
+ "learning_rate": 0.0002,
192
+ "loss": 0.8313,
193
+ "step": 240
194
+ },
195
+ {
196
+ "epoch": 2.314814814814815,
197
+ "grad_norm": 0.7695487141609192,
198
+ "learning_rate": 0.0002,
199
+ "loss": 0.834,
200
+ "step": 250
201
+ },
202
+ {
203
+ "epoch": 2.4074074074074074,
204
+ "grad_norm": 0.7450180649757385,
205
+ "learning_rate": 0.0002,
206
+ "loss": 0.792,
207
+ "step": 260
208
+ },
209
+ {
210
+ "epoch": 2.5,
211
+ "grad_norm": 0.8444269895553589,
212
+ "learning_rate": 0.0002,
213
+ "loss": 0.8536,
214
+ "step": 270
215
+ },
216
+ {
217
+ "epoch": 2.5925925925925926,
218
+ "grad_norm": 0.863512396812439,
219
+ "learning_rate": 0.0002,
220
+ "loss": 0.8526,
221
+ "step": 280
222
+ },
223
+ {
224
+ "epoch": 2.685185185185185,
225
+ "grad_norm": 0.8145697116851807,
226
+ "learning_rate": 0.0002,
227
+ "loss": 0.8075,
228
+ "step": 290
229
+ },
230
+ {
231
+ "epoch": 2.7777777777777777,
232
+ "grad_norm": 0.854925274848938,
233
+ "learning_rate": 0.0002,
234
+ "loss": 0.8498,
235
+ "step": 300
236
+ },
237
+ {
238
+ "epoch": 2.8703703703703702,
239
+ "grad_norm": 0.8122089505195618,
240
+ "learning_rate": 0.0002,
241
+ "loss": 0.8397,
242
+ "step": 310
243
+ },
244
+ {
245
+ "epoch": 2.962962962962963,
246
+ "grad_norm": 0.8580446243286133,
247
+ "learning_rate": 0.0002,
248
+ "loss": 0.8169,
249
+ "step": 320
250
+ },
251
+ {
252
+ "epoch": 3.0,
253
+ "eval_loss": 1.1322007179260254,
254
+ "eval_runtime": 5.5018,
255
+ "eval_samples_per_second": 5.453,
256
+ "eval_steps_per_second": 0.727,
257
+ "step": 324
258
+ }
259
+ ],
260
+ "logging_steps": 10,
261
+ "max_steps": 864,
262
+ "num_input_tokens_seen": 0,
263
+ "num_train_epochs": 8,
264
+ "save_steps": 200,
265
+ "stateful_callbacks": {
266
+ "TrainerControl": {
267
+ "args": {
268
+ "should_epoch_stop": false,
269
+ "should_evaluate": false,
270
+ "should_log": false,
271
+ "should_save": true,
272
+ "should_training_stop": false
273
+ },
274
+ "attributes": {}
275
+ }
276
+ },
277
+ "total_flos": 1.42154114531328e+16,
278
+ "train_batch_size": 1,
279
+ "trial_name": null,
280
+ "trial_params": null
281
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-324/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3d43901d0e1136f7636f7a57eb5c6b0704802c4aaac2b9cddfcfd664700f507
3
+ size 5560
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.1
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f88090f90938ad37d925bca098a319b58c8a4cd8876339f1134213c9a463110
3
+ size 109069176
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8960753c2b0bb5bf2bdaa481ed0d54314ee7a32c2d69a5d7967887b31cbf2a1a
3
+ size 55532666
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:031219ba633d65f335eba931d68be67f957f69c37f9bba804d8b75aaf73887ae
3
+ size 14244
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18eb3fdff78cd8584e9b31875f606889d1e761ced3e8b36e3b1ed3872f442b89
3
+ size 1064
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
+ size 587404
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-432/trainer_state.json ADDED
@@ -0,0 +1,366 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0734331607818604,
3
+ "best_model_checkpoint": "outputs-001/Mistral-7B-Instruct-v0.3_int4_arc_challenge-routerbench-0shot_lr-0.0002_e-8_seq-512_lora-a-32-d-0.05-r-64_bs-1_gas-2_tf32-True_tunedata-portion-p-1.0-num-1029-sd-42/checkpoint-108",
4
+ "epoch": 4.0,
5
+ "eval_steps": 10,
6
+ "global_step": 432,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09259259259259259,
13
+ "grad_norm": 1.0846197605133057,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.7995,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.18518518518518517,
20
+ "grad_norm": 0.7533441781997681,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5384,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.2777777777777778,
27
+ "grad_norm": 0.6439118981361389,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.4743,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.37037037037037035,
34
+ "grad_norm": 0.634631872177124,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2467,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.46296296296296297,
41
+ "grad_norm": 0.5935903787612915,
42
+ "learning_rate": 0.0002,
43
+ "loss": 1.152,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.5555555555555556,
48
+ "grad_norm": 0.5972248911857605,
49
+ "learning_rate": 0.0002,
50
+ "loss": 1.1333,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.6481481481481481,
55
+ "grad_norm": 0.6778728365898132,
56
+ "learning_rate": 0.0002,
57
+ "loss": 1.1097,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.7407407407407407,
62
+ "grad_norm": 0.8064132332801819,
63
+ "learning_rate": 0.0002,
64
+ "loss": 1.0879,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.8333333333333334,
69
+ "grad_norm": 0.5745105743408203,
70
+ "learning_rate": 0.0002,
71
+ "loss": 1.0926,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.9259259259259259,
76
+ "grad_norm": 0.5176246762275696,
77
+ "learning_rate": 0.0002,
78
+ "loss": 1.0709,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_loss": 1.0734331607818604,
84
+ "eval_runtime": 5.4801,
85
+ "eval_samples_per_second": 5.474,
86
+ "eval_steps_per_second": 0.73,
87
+ "step": 108
88
+ },
89
+ {
90
+ "epoch": 1.0185185185185186,
91
+ "grad_norm": 0.4202083647251129,
92
+ "learning_rate": 0.0002,
93
+ "loss": 1.0405,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.1111111111111112,
98
+ "grad_norm": 0.5589748620986938,
99
+ "learning_rate": 0.0002,
100
+ "loss": 1.0114,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.2037037037037037,
105
+ "grad_norm": 0.5884681940078735,
106
+ "learning_rate": 0.0002,
107
+ "loss": 0.9608,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.2962962962962963,
112
+ "grad_norm": 0.6308313608169556,
113
+ "learning_rate": 0.0002,
114
+ "loss": 0.9474,
115
+ "step": 140
116
+ },
117
+ {
118
+ "epoch": 1.3888888888888888,
119
+ "grad_norm": 0.7051475644111633,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.9654,
122
+ "step": 150
123
+ },
124
+ {
125
+ "epoch": 1.4814814814814814,
126
+ "grad_norm": 0.6816942095756531,
127
+ "learning_rate": 0.0002,
128
+ "loss": 1.0027,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 1.574074074074074,
133
+ "grad_norm": 0.6152938604354858,
134
+ "learning_rate": 0.0002,
135
+ "loss": 0.9732,
136
+ "step": 170
137
+ },
138
+ {
139
+ "epoch": 1.6666666666666665,
140
+ "grad_norm": 0.6212341785430908,
141
+ "learning_rate": 0.0002,
142
+ "loss": 1.0195,
143
+ "step": 180
144
+ },
145
+ {
146
+ "epoch": 1.7592592592592593,
147
+ "grad_norm": 0.5540194511413574,
148
+ "learning_rate": 0.0002,
149
+ "loss": 1.0144,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 1.8518518518518519,
154
+ "grad_norm": 0.7914405465126038,
155
+ "learning_rate": 0.0002,
156
+ "loss": 0.96,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 1.9444444444444444,
161
+ "grad_norm": 0.5660528540611267,
162
+ "learning_rate": 0.0002,
163
+ "loss": 0.9895,
164
+ "step": 210
165
+ },
166
+ {
167
+ "epoch": 2.0,
168
+ "eval_loss": 1.0766535997390747,
169
+ "eval_runtime": 5.4884,
170
+ "eval_samples_per_second": 5.466,
171
+ "eval_steps_per_second": 0.729,
172
+ "step": 216
173
+ },
174
+ {
175
+ "epoch": 2.037037037037037,
176
+ "grad_norm": 0.5890535712242126,
177
+ "learning_rate": 0.0002,
178
+ "loss": 0.9586,
179
+ "step": 220
180
+ },
181
+ {
182
+ "epoch": 2.1296296296296298,
183
+ "grad_norm": 0.8267788290977478,
184
+ "learning_rate": 0.0002,
185
+ "loss": 0.8198,
186
+ "step": 230
187
+ },
188
+ {
189
+ "epoch": 2.2222222222222223,
190
+ "grad_norm": 0.8804293870925903,
191
+ "learning_rate": 0.0002,
192
+ "loss": 0.8313,
193
+ "step": 240
194
+ },
195
+ {
196
+ "epoch": 2.314814814814815,
197
+ "grad_norm": 0.7695487141609192,
198
+ "learning_rate": 0.0002,
199
+ "loss": 0.834,
200
+ "step": 250
201
+ },
202
+ {
203
+ "epoch": 2.4074074074074074,
204
+ "grad_norm": 0.7450180649757385,
205
+ "learning_rate": 0.0002,
206
+ "loss": 0.792,
207
+ "step": 260
208
+ },
209
+ {
210
+ "epoch": 2.5,
211
+ "grad_norm": 0.8444269895553589,
212
+ "learning_rate": 0.0002,
213
+ "loss": 0.8536,
214
+ "step": 270
215
+ },
216
+ {
217
+ "epoch": 2.5925925925925926,
218
+ "grad_norm": 0.863512396812439,
219
+ "learning_rate": 0.0002,
220
+ "loss": 0.8526,
221
+ "step": 280
222
+ },
223
+ {
224
+ "epoch": 2.685185185185185,
225
+ "grad_norm": 0.8145697116851807,
226
+ "learning_rate": 0.0002,
227
+ "loss": 0.8075,
228
+ "step": 290
229
+ },
230
+ {
231
+ "epoch": 2.7777777777777777,
232
+ "grad_norm": 0.854925274848938,
233
+ "learning_rate": 0.0002,
234
+ "loss": 0.8498,
235
+ "step": 300
236
+ },
237
+ {
238
+ "epoch": 2.8703703703703702,
239
+ "grad_norm": 0.8122089505195618,
240
+ "learning_rate": 0.0002,
241
+ "loss": 0.8397,
242
+ "step": 310
243
+ },
244
+ {
245
+ "epoch": 2.962962962962963,
246
+ "grad_norm": 0.8580446243286133,
247
+ "learning_rate": 0.0002,
248
+ "loss": 0.8169,
249
+ "step": 320
250
+ },
251
+ {
252
+ "epoch": 3.0,
253
+ "eval_loss": 1.1322007179260254,
254
+ "eval_runtime": 5.5018,
255
+ "eval_samples_per_second": 5.453,
256
+ "eval_steps_per_second": 0.727,
257
+ "step": 324
258
+ },
259
+ {
260
+ "epoch": 3.0555555555555554,
261
+ "grad_norm": 0.979599118232727,
262
+ "learning_rate": 0.0002,
263
+ "loss": 0.7451,
264
+ "step": 330
265
+ },
266
+ {
267
+ "epoch": 3.148148148148148,
268
+ "grad_norm": 1.0978847742080688,
269
+ "learning_rate": 0.0002,
270
+ "loss": 0.6596,
271
+ "step": 340
272
+ },
273
+ {
274
+ "epoch": 3.240740740740741,
275
+ "grad_norm": 1.0048067569732666,
276
+ "learning_rate": 0.0002,
277
+ "loss": 0.6541,
278
+ "step": 350
279
+ },
280
+ {
281
+ "epoch": 3.3333333333333335,
282
+ "grad_norm": 1.0574301481246948,
283
+ "learning_rate": 0.0002,
284
+ "loss": 0.6406,
285
+ "step": 360
286
+ },
287
+ {
288
+ "epoch": 3.425925925925926,
289
+ "grad_norm": 1.0279420614242554,
290
+ "learning_rate": 0.0002,
291
+ "loss": 0.6756,
292
+ "step": 370
293
+ },
294
+ {
295
+ "epoch": 3.5185185185185186,
296
+ "grad_norm": 1.1787627935409546,
297
+ "learning_rate": 0.0002,
298
+ "loss": 0.646,
299
+ "step": 380
300
+ },
301
+ {
302
+ "epoch": 3.611111111111111,
303
+ "grad_norm": 1.0926417112350464,
304
+ "learning_rate": 0.0002,
305
+ "loss": 0.6495,
306
+ "step": 390
307
+ },
308
+ {
309
+ "epoch": 3.7037037037037037,
310
+ "grad_norm": 0.9780146479606628,
311
+ "learning_rate": 0.0002,
312
+ "loss": 0.6455,
313
+ "step": 400
314
+ },
315
+ {
316
+ "epoch": 3.7962962962962963,
317
+ "grad_norm": 1.1574501991271973,
318
+ "learning_rate": 0.0002,
319
+ "loss": 0.6566,
320
+ "step": 410
321
+ },
322
+ {
323
+ "epoch": 3.888888888888889,
324
+ "grad_norm": 1.217855453491211,
325
+ "learning_rate": 0.0002,
326
+ "loss": 0.644,
327
+ "step": 420
328
+ },
329
+ {
330
+ "epoch": 3.9814814814814814,
331
+ "grad_norm": 0.9669920802116394,
332
+ "learning_rate": 0.0002,
333
+ "loss": 0.6706,
334
+ "step": 430
335
+ },
336
+ {
337
+ "epoch": 4.0,
338
+ "eval_loss": 1.2976421117782593,
339
+ "eval_runtime": 5.512,
340
+ "eval_samples_per_second": 5.443,
341
+ "eval_steps_per_second": 0.726,
342
+ "step": 432
343
+ }
344
+ ],
345
+ "logging_steps": 10,
346
+ "max_steps": 864,
347
+ "num_input_tokens_seen": 0,
348
+ "num_train_epochs": 8,
349
+ "save_steps": 200,
350
+ "stateful_callbacks": {
351
+ "TrainerControl": {
352
+ "args": {
353
+ "should_epoch_stop": false,
354
+ "should_evaluate": false,
355
+ "should_log": false,
356
+ "should_save": true,
357
+ "should_training_stop": false
358
+ },
359
+ "attributes": {}
360
+ }
361
+ },
362
+ "total_flos": 1.89538819375104e+16,
363
+ "train_batch_size": 1,
364
+ "trial_name": null,
365
+ "trial_params": null
366
+ }