MilaWang commited on
Commit
9c1c36b
·
verified ·
1 Parent(s): d9758f4

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-0.4-num-411-sd-4/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-0.4-num-411-sd-4/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-0.4-num-411-sd-4/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/trainer_state.json +141 -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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/trainer_state.json +184 -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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/trainer_state.json +220 -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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/trainer_state.json +256 -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-0.4-num-411-sd-4/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-0.4-num-411-sd-4/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
+ "q_proj",
24
+ "v_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-0.4-num-411-sd-4/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b6cb4f031658db166e87324662ab8f60847dc3673e4744a5c403893cf3c3d37
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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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
+ "q_proj",
24
+ "v_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-0.4-num-411-sd-4/checkpoint-129/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a5e8c6a51483c4e6fe15f9d688bbceff1cb4391dbe4f43c6bb2ab295262eca8
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-0.4-num-411-sd-4/checkpoint-129/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f282910301669b2e4b72ed661d50621d1ce8c9132f0827c55f23a487a939cc94
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-0.4-num-411-sd-4/checkpoint-129/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:13520a93db38f5bab3d28c1dbb78f7bbb49ff2bab884f55e34b9097c2e832f48
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-0.4-num-411-sd-4/checkpoint-129/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a2f773af7e904d33aa7a07ed868fcb6246ecd808c17e8c335ab70152202671c
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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/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-0.4-num-411-sd-4/checkpoint-129/trainer_state.json ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1026320457458496,
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-0.4-num-411-sd-4/checkpoint-86",
4
+ "epoch": 3.0,
5
+ "eval_steps": 10,
6
+ "global_step": 129,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.23255813953488372,
13
+ "grad_norm": 0.9207940697669983,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.8063,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.46511627906976744,
20
+ "grad_norm": 0.8537421822547913,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5371,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.6976744186046512,
27
+ "grad_norm": 0.7176427841186523,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.494,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.9302325581395349,
34
+ "grad_norm": 0.6979115605354309,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2402,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.0,
41
+ "eval_loss": 1.1529834270477295,
42
+ "eval_runtime": 9.7253,
43
+ "eval_samples_per_second": 3.085,
44
+ "eval_steps_per_second": 0.411,
45
+ "step": 43
46
+ },
47
+ {
48
+ "epoch": 1.1627906976744187,
49
+ "grad_norm": 0.6170558333396912,
50
+ "learning_rate": 0.0002,
51
+ "loss": 1.0922,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.3953488372093024,
56
+ "grad_norm": 0.8319893479347229,
57
+ "learning_rate": 0.0002,
58
+ "loss": 1.0322,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.627906976744186,
63
+ "grad_norm": 0.7505517601966858,
64
+ "learning_rate": 0.0002,
65
+ "loss": 1.0335,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.8604651162790697,
70
+ "grad_norm": 0.6627567410469055,
71
+ "learning_rate": 0.0002,
72
+ "loss": 1.0098,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 2.0,
77
+ "eval_loss": 1.1026320457458496,
78
+ "eval_runtime": 7.2559,
79
+ "eval_samples_per_second": 4.135,
80
+ "eval_steps_per_second": 0.551,
81
+ "step": 86
82
+ },
83
+ {
84
+ "epoch": 2.0930232558139537,
85
+ "grad_norm": 0.7189823985099792,
86
+ "learning_rate": 0.0002,
87
+ "loss": 0.8947,
88
+ "step": 90
89
+ },
90
+ {
91
+ "epoch": 2.3255813953488373,
92
+ "grad_norm": 1.011599063873291,
93
+ "learning_rate": 0.0002,
94
+ "loss": 0.8664,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 2.558139534883721,
99
+ "grad_norm": 0.9150832891464233,
100
+ "learning_rate": 0.0002,
101
+ "loss": 0.866,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 2.7906976744186047,
106
+ "grad_norm": 0.9309139251708984,
107
+ "learning_rate": 0.0002,
108
+ "loss": 0.8404,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 3.0,
113
+ "eval_loss": 1.1499227285385132,
114
+ "eval_runtime": 7.3602,
115
+ "eval_samples_per_second": 4.076,
116
+ "eval_steps_per_second": 0.543,
117
+ "step": 129
118
+ }
119
+ ],
120
+ "logging_steps": 10,
121
+ "max_steps": 344,
122
+ "num_input_tokens_seen": 0,
123
+ "num_train_epochs": 8,
124
+ "save_steps": 200,
125
+ "stateful_callbacks": {
126
+ "TrainerControl": {
127
+ "args": {
128
+ "should_epoch_stop": false,
129
+ "should_evaluate": false,
130
+ "should_log": false,
131
+ "should_save": true,
132
+ "should_training_stop": false
133
+ },
134
+ "attributes": {}
135
+ }
136
+ },
137
+ "total_flos": 5659839745228800.0,
138
+ "train_batch_size": 1,
139
+ "trial_name": null,
140
+ "trial_params": null
141
+ }
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-0.4-num-411-sd-4/checkpoint-129/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d3eccd8018d72c99010dbe094f6407cea422ce62e2bf0728005a7c088b4b68b
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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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
+ "q_proj",
24
+ "v_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-0.4-num-411-sd-4/checkpoint-172/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c741b7c9524134f77330803e396b586113f95bd82724f73ca2ebb7fb13859dca
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-0.4-num-411-sd-4/checkpoint-172/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fbb183bb667dce54070a9743db18b5559aad00eb349ea9b7743e30bb6e8ad41e
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-0.4-num-411-sd-4/checkpoint-172/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2357053c3325a0590d93f68240d58a4c2d2fb034ef4f797fd846a9404206d27
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-0.4-num-411-sd-4/checkpoint-172/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:339d6a4a946b293df24b960ae364927ea494cf7dbf631ec527e6b80908cc934f
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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/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-0.4-num-411-sd-4/checkpoint-172/trainer_state.json ADDED
@@ -0,0 +1,184 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1026320457458496,
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-0.4-num-411-sd-4/checkpoint-86",
4
+ "epoch": 4.0,
5
+ "eval_steps": 10,
6
+ "global_step": 172,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.23255813953488372,
13
+ "grad_norm": 0.9207940697669983,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.8063,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.46511627906976744,
20
+ "grad_norm": 0.8537421822547913,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5371,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.6976744186046512,
27
+ "grad_norm": 0.7176427841186523,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.494,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.9302325581395349,
34
+ "grad_norm": 0.6979115605354309,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2402,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.0,
41
+ "eval_loss": 1.1529834270477295,
42
+ "eval_runtime": 9.7253,
43
+ "eval_samples_per_second": 3.085,
44
+ "eval_steps_per_second": 0.411,
45
+ "step": 43
46
+ },
47
+ {
48
+ "epoch": 1.1627906976744187,
49
+ "grad_norm": 0.6170558333396912,
50
+ "learning_rate": 0.0002,
51
+ "loss": 1.0922,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.3953488372093024,
56
+ "grad_norm": 0.8319893479347229,
57
+ "learning_rate": 0.0002,
58
+ "loss": 1.0322,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.627906976744186,
63
+ "grad_norm": 0.7505517601966858,
64
+ "learning_rate": 0.0002,
65
+ "loss": 1.0335,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.8604651162790697,
70
+ "grad_norm": 0.6627567410469055,
71
+ "learning_rate": 0.0002,
72
+ "loss": 1.0098,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 2.0,
77
+ "eval_loss": 1.1026320457458496,
78
+ "eval_runtime": 7.2559,
79
+ "eval_samples_per_second": 4.135,
80
+ "eval_steps_per_second": 0.551,
81
+ "step": 86
82
+ },
83
+ {
84
+ "epoch": 2.0930232558139537,
85
+ "grad_norm": 0.7189823985099792,
86
+ "learning_rate": 0.0002,
87
+ "loss": 0.8947,
88
+ "step": 90
89
+ },
90
+ {
91
+ "epoch": 2.3255813953488373,
92
+ "grad_norm": 1.011599063873291,
93
+ "learning_rate": 0.0002,
94
+ "loss": 0.8664,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 2.558139534883721,
99
+ "grad_norm": 0.9150832891464233,
100
+ "learning_rate": 0.0002,
101
+ "loss": 0.866,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 2.7906976744186047,
106
+ "grad_norm": 0.9309139251708984,
107
+ "learning_rate": 0.0002,
108
+ "loss": 0.8404,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 3.0,
113
+ "eval_loss": 1.1499227285385132,
114
+ "eval_runtime": 7.3602,
115
+ "eval_samples_per_second": 4.076,
116
+ "eval_steps_per_second": 0.543,
117
+ "step": 129
118
+ },
119
+ {
120
+ "epoch": 3.0232558139534884,
121
+ "grad_norm": 0.785662055015564,
122
+ "learning_rate": 0.0002,
123
+ "loss": 0.8003,
124
+ "step": 130
125
+ },
126
+ {
127
+ "epoch": 3.255813953488372,
128
+ "grad_norm": 1.1349126100540161,
129
+ "learning_rate": 0.0002,
130
+ "loss": 0.6583,
131
+ "step": 140
132
+ },
133
+ {
134
+ "epoch": 3.488372093023256,
135
+ "grad_norm": 1.319569706916809,
136
+ "learning_rate": 0.0002,
137
+ "loss": 0.7112,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 3.7209302325581395,
142
+ "grad_norm": 1.2945890426635742,
143
+ "learning_rate": 0.0002,
144
+ "loss": 0.6642,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 3.953488372093023,
149
+ "grad_norm": 1.3865443468093872,
150
+ "learning_rate": 0.0002,
151
+ "loss": 0.6563,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 4.0,
156
+ "eval_loss": 1.3302134275436401,
157
+ "eval_runtime": 7.2788,
158
+ "eval_samples_per_second": 4.122,
159
+ "eval_steps_per_second": 0.55,
160
+ "step": 172
161
+ }
162
+ ],
163
+ "logging_steps": 10,
164
+ "max_steps": 344,
165
+ "num_input_tokens_seen": 0,
166
+ "num_train_epochs": 8,
167
+ "save_steps": 200,
168
+ "stateful_callbacks": {
169
+ "TrainerControl": {
170
+ "args": {
171
+ "should_epoch_stop": false,
172
+ "should_evaluate": false,
173
+ "should_log": false,
174
+ "should_save": true,
175
+ "should_training_stop": false
176
+ },
177
+ "attributes": {}
178
+ }
179
+ },
180
+ "total_flos": 7546452993638400.0,
181
+ "train_batch_size": 1,
182
+ "trial_name": null,
183
+ "trial_params": null
184
+ }
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-0.4-num-411-sd-4/checkpoint-172/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d3eccd8018d72c99010dbe094f6407cea422ce62e2bf0728005a7c088b4b68b
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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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
+ "q_proj",
24
+ "v_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-0.4-num-411-sd-4/checkpoint-215/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:16ed845288b9235605805a8d7757aa4f02676ec43ddf548bd3655547cda2050a
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-0.4-num-411-sd-4/checkpoint-215/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e11884a5bd38d16372df2bef3cab7589217f7ba2636bc8804979717dfa4461eb
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-0.4-num-411-sd-4/checkpoint-215/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30886d51cf1b2ec0cc9a896ebad95f1742823d3b007664bfb97cf2ce1b6558cc
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-0.4-num-411-sd-4/checkpoint-215/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33a846ad995d72d472d7b80f635a1dfd55689087ba8680a3afc3bcacd65b9a5f
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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/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-0.4-num-411-sd-4/checkpoint-215/trainer_state.json ADDED
@@ -0,0 +1,220 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1026320457458496,
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-0.4-num-411-sd-4/checkpoint-86",
4
+ "epoch": 5.0,
5
+ "eval_steps": 10,
6
+ "global_step": 215,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.23255813953488372,
13
+ "grad_norm": 0.9207940697669983,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.8063,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.46511627906976744,
20
+ "grad_norm": 0.8537421822547913,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5371,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.6976744186046512,
27
+ "grad_norm": 0.7176427841186523,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.494,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.9302325581395349,
34
+ "grad_norm": 0.6979115605354309,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2402,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.0,
41
+ "eval_loss": 1.1529834270477295,
42
+ "eval_runtime": 9.7253,
43
+ "eval_samples_per_second": 3.085,
44
+ "eval_steps_per_second": 0.411,
45
+ "step": 43
46
+ },
47
+ {
48
+ "epoch": 1.1627906976744187,
49
+ "grad_norm": 0.6170558333396912,
50
+ "learning_rate": 0.0002,
51
+ "loss": 1.0922,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.3953488372093024,
56
+ "grad_norm": 0.8319893479347229,
57
+ "learning_rate": 0.0002,
58
+ "loss": 1.0322,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.627906976744186,
63
+ "grad_norm": 0.7505517601966858,
64
+ "learning_rate": 0.0002,
65
+ "loss": 1.0335,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.8604651162790697,
70
+ "grad_norm": 0.6627567410469055,
71
+ "learning_rate": 0.0002,
72
+ "loss": 1.0098,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 2.0,
77
+ "eval_loss": 1.1026320457458496,
78
+ "eval_runtime": 7.2559,
79
+ "eval_samples_per_second": 4.135,
80
+ "eval_steps_per_second": 0.551,
81
+ "step": 86
82
+ },
83
+ {
84
+ "epoch": 2.0930232558139537,
85
+ "grad_norm": 0.7189823985099792,
86
+ "learning_rate": 0.0002,
87
+ "loss": 0.8947,
88
+ "step": 90
89
+ },
90
+ {
91
+ "epoch": 2.3255813953488373,
92
+ "grad_norm": 1.011599063873291,
93
+ "learning_rate": 0.0002,
94
+ "loss": 0.8664,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 2.558139534883721,
99
+ "grad_norm": 0.9150832891464233,
100
+ "learning_rate": 0.0002,
101
+ "loss": 0.866,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 2.7906976744186047,
106
+ "grad_norm": 0.9309139251708984,
107
+ "learning_rate": 0.0002,
108
+ "loss": 0.8404,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 3.0,
113
+ "eval_loss": 1.1499227285385132,
114
+ "eval_runtime": 7.3602,
115
+ "eval_samples_per_second": 4.076,
116
+ "eval_steps_per_second": 0.543,
117
+ "step": 129
118
+ },
119
+ {
120
+ "epoch": 3.0232558139534884,
121
+ "grad_norm": 0.785662055015564,
122
+ "learning_rate": 0.0002,
123
+ "loss": 0.8003,
124
+ "step": 130
125
+ },
126
+ {
127
+ "epoch": 3.255813953488372,
128
+ "grad_norm": 1.1349126100540161,
129
+ "learning_rate": 0.0002,
130
+ "loss": 0.6583,
131
+ "step": 140
132
+ },
133
+ {
134
+ "epoch": 3.488372093023256,
135
+ "grad_norm": 1.319569706916809,
136
+ "learning_rate": 0.0002,
137
+ "loss": 0.7112,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 3.7209302325581395,
142
+ "grad_norm": 1.2945890426635742,
143
+ "learning_rate": 0.0002,
144
+ "loss": 0.6642,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 3.953488372093023,
149
+ "grad_norm": 1.3865443468093872,
150
+ "learning_rate": 0.0002,
151
+ "loss": 0.6563,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 4.0,
156
+ "eval_loss": 1.3302134275436401,
157
+ "eval_runtime": 7.2788,
158
+ "eval_samples_per_second": 4.122,
159
+ "eval_steps_per_second": 0.55,
160
+ "step": 172
161
+ },
162
+ {
163
+ "epoch": 4.186046511627907,
164
+ "grad_norm": 1.2940173149108887,
165
+ "learning_rate": 0.0002,
166
+ "loss": 0.5253,
167
+ "step": 180
168
+ },
169
+ {
170
+ "epoch": 4.4186046511627906,
171
+ "grad_norm": 1.4996495246887207,
172
+ "learning_rate": 0.0002,
173
+ "loss": 0.5278,
174
+ "step": 190
175
+ },
176
+ {
177
+ "epoch": 4.651162790697675,
178
+ "grad_norm": 1.6001663208007812,
179
+ "learning_rate": 0.0002,
180
+ "loss": 0.5073,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 4.883720930232558,
185
+ "grad_norm": 1.1210589408874512,
186
+ "learning_rate": 0.0002,
187
+ "loss": 0.5241,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 5.0,
192
+ "eval_loss": 1.4423744678497314,
193
+ "eval_runtime": 7.0734,
194
+ "eval_samples_per_second": 4.241,
195
+ "eval_steps_per_second": 0.565,
196
+ "step": 215
197
+ }
198
+ ],
199
+ "logging_steps": 10,
200
+ "max_steps": 344,
201
+ "num_input_tokens_seen": 0,
202
+ "num_train_epochs": 8,
203
+ "save_steps": 200,
204
+ "stateful_callbacks": {
205
+ "TrainerControl": {
206
+ "args": {
207
+ "should_epoch_stop": false,
208
+ "should_evaluate": false,
209
+ "should_log": false,
210
+ "should_save": true,
211
+ "should_training_stop": false
212
+ },
213
+ "attributes": {}
214
+ }
215
+ },
216
+ "total_flos": 9433066242048000.0,
217
+ "train_batch_size": 1,
218
+ "trial_name": null,
219
+ "trial_params": null
220
+ }
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-0.4-num-411-sd-4/checkpoint-215/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d3eccd8018d72c99010dbe094f6407cea422ce62e2bf0728005a7c088b4b68b
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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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
+ "q_proj",
24
+ "v_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-0.4-num-411-sd-4/checkpoint-258/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:022e025c7837fc2260e331f84a885c5d0836e69052203b81846d11c3a080c0f9
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-0.4-num-411-sd-4/checkpoint-258/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cf48fa9fbe3c7ed858240e3943713aecdefc74543dad15e5b2ff43a1f8e27f7
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-0.4-num-411-sd-4/checkpoint-258/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea417bc0412883ce1cdb2cf4da96092678a720f09010ab4dce3e73094d67f3d6
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-0.4-num-411-sd-4/checkpoint-258/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a73189a115f56ddaa349cdd60b8bd7eb90891b33946797efa6cbc5a880866400
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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/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-0.4-num-411-sd-4/checkpoint-258/trainer_state.json ADDED
@@ -0,0 +1,256 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1026320457458496,
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-0.4-num-411-sd-4/checkpoint-86",
4
+ "epoch": 6.0,
5
+ "eval_steps": 10,
6
+ "global_step": 258,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.23255813953488372,
13
+ "grad_norm": 0.9207940697669983,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.8063,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.46511627906976744,
20
+ "grad_norm": 0.8537421822547913,
21
+ "learning_rate": 0.0002,
22
+ "loss": 1.5371,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.6976744186046512,
27
+ "grad_norm": 0.7176427841186523,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.494,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.9302325581395349,
34
+ "grad_norm": 0.6979115605354309,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.2402,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.0,
41
+ "eval_loss": 1.1529834270477295,
42
+ "eval_runtime": 9.7253,
43
+ "eval_samples_per_second": 3.085,
44
+ "eval_steps_per_second": 0.411,
45
+ "step": 43
46
+ },
47
+ {
48
+ "epoch": 1.1627906976744187,
49
+ "grad_norm": 0.6170558333396912,
50
+ "learning_rate": 0.0002,
51
+ "loss": 1.0922,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.3953488372093024,
56
+ "grad_norm": 0.8319893479347229,
57
+ "learning_rate": 0.0002,
58
+ "loss": 1.0322,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.627906976744186,
63
+ "grad_norm": 0.7505517601966858,
64
+ "learning_rate": 0.0002,
65
+ "loss": 1.0335,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.8604651162790697,
70
+ "grad_norm": 0.6627567410469055,
71
+ "learning_rate": 0.0002,
72
+ "loss": 1.0098,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 2.0,
77
+ "eval_loss": 1.1026320457458496,
78
+ "eval_runtime": 7.2559,
79
+ "eval_samples_per_second": 4.135,
80
+ "eval_steps_per_second": 0.551,
81
+ "step": 86
82
+ },
83
+ {
84
+ "epoch": 2.0930232558139537,
85
+ "grad_norm": 0.7189823985099792,
86
+ "learning_rate": 0.0002,
87
+ "loss": 0.8947,
88
+ "step": 90
89
+ },
90
+ {
91
+ "epoch": 2.3255813953488373,
92
+ "grad_norm": 1.011599063873291,
93
+ "learning_rate": 0.0002,
94
+ "loss": 0.8664,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 2.558139534883721,
99
+ "grad_norm": 0.9150832891464233,
100
+ "learning_rate": 0.0002,
101
+ "loss": 0.866,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 2.7906976744186047,
106
+ "grad_norm": 0.9309139251708984,
107
+ "learning_rate": 0.0002,
108
+ "loss": 0.8404,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 3.0,
113
+ "eval_loss": 1.1499227285385132,
114
+ "eval_runtime": 7.3602,
115
+ "eval_samples_per_second": 4.076,
116
+ "eval_steps_per_second": 0.543,
117
+ "step": 129
118
+ },
119
+ {
120
+ "epoch": 3.0232558139534884,
121
+ "grad_norm": 0.785662055015564,
122
+ "learning_rate": 0.0002,
123
+ "loss": 0.8003,
124
+ "step": 130
125
+ },
126
+ {
127
+ "epoch": 3.255813953488372,
128
+ "grad_norm": 1.1349126100540161,
129
+ "learning_rate": 0.0002,
130
+ "loss": 0.6583,
131
+ "step": 140
132
+ },
133
+ {
134
+ "epoch": 3.488372093023256,
135
+ "grad_norm": 1.319569706916809,
136
+ "learning_rate": 0.0002,
137
+ "loss": 0.7112,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 3.7209302325581395,
142
+ "grad_norm": 1.2945890426635742,
143
+ "learning_rate": 0.0002,
144
+ "loss": 0.6642,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 3.953488372093023,
149
+ "grad_norm": 1.3865443468093872,
150
+ "learning_rate": 0.0002,
151
+ "loss": 0.6563,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 4.0,
156
+ "eval_loss": 1.3302134275436401,
157
+ "eval_runtime": 7.2788,
158
+ "eval_samples_per_second": 4.122,
159
+ "eval_steps_per_second": 0.55,
160
+ "step": 172
161
+ },
162
+ {
163
+ "epoch": 4.186046511627907,
164
+ "grad_norm": 1.2940173149108887,
165
+ "learning_rate": 0.0002,
166
+ "loss": 0.5253,
167
+ "step": 180
168
+ },
169
+ {
170
+ "epoch": 4.4186046511627906,
171
+ "grad_norm": 1.4996495246887207,
172
+ "learning_rate": 0.0002,
173
+ "loss": 0.5278,
174
+ "step": 190
175
+ },
176
+ {
177
+ "epoch": 4.651162790697675,
178
+ "grad_norm": 1.6001663208007812,
179
+ "learning_rate": 0.0002,
180
+ "loss": 0.5073,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 4.883720930232558,
185
+ "grad_norm": 1.1210589408874512,
186
+ "learning_rate": 0.0002,
187
+ "loss": 0.5241,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 5.0,
192
+ "eval_loss": 1.4423744678497314,
193
+ "eval_runtime": 7.0734,
194
+ "eval_samples_per_second": 4.241,
195
+ "eval_steps_per_second": 0.565,
196
+ "step": 215
197
+ },
198
+ {
199
+ "epoch": 5.116279069767442,
200
+ "grad_norm": 1.6573857069015503,
201
+ "learning_rate": 0.0002,
202
+ "loss": 0.4704,
203
+ "step": 220
204
+ },
205
+ {
206
+ "epoch": 5.348837209302325,
207
+ "grad_norm": 1.206394076347351,
208
+ "learning_rate": 0.0002,
209
+ "loss": 0.3767,
210
+ "step": 230
211
+ },
212
+ {
213
+ "epoch": 5.5813953488372094,
214
+ "grad_norm": 1.4774620532989502,
215
+ "learning_rate": 0.0002,
216
+ "loss": 0.4212,
217
+ "step": 240
218
+ },
219
+ {
220
+ "epoch": 5.813953488372093,
221
+ "grad_norm": 1.8612034320831299,
222
+ "learning_rate": 0.0002,
223
+ "loss": 0.4166,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 6.0,
228
+ "eval_loss": 1.606059193611145,
229
+ "eval_runtime": 7.0941,
230
+ "eval_samples_per_second": 4.229,
231
+ "eval_steps_per_second": 0.564,
232
+ "step": 258
233
+ }
234
+ ],
235
+ "logging_steps": 10,
236
+ "max_steps": 344,
237
+ "num_input_tokens_seen": 0,
238
+ "num_train_epochs": 8,
239
+ "save_steps": 200,
240
+ "stateful_callbacks": {
241
+ "TrainerControl": {
242
+ "args": {
243
+ "should_epoch_stop": false,
244
+ "should_evaluate": false,
245
+ "should_log": false,
246
+ "should_save": true,
247
+ "should_training_stop": false
248
+ },
249
+ "attributes": {}
250
+ }
251
+ },
252
+ "total_flos": 1.13196794904576e+16,
253
+ "train_batch_size": 1,
254
+ "trial_name": null,
255
+ "trial_params": null
256
+ }