Aivesa commited on
Commit
375aadb
·
verified ·
1 Parent(s): 8330375

End of training

Browse files
Files changed (1) hide show
  1. README.md +18 -18
README.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  library_name: peft
3
- license: other
4
- base_model: facebook/opt-1.3b
5
  tags:
6
  - axolotl
7
  - generated_from_trainer
8
  datasets:
9
- - Aivesa/dataset_46dd44b3-e4e4-4c44-8605-e8e8b6dd956e
10
  model-index:
11
- - name: a05b476c-463b-4946-89c4-d93aca81d7e7
12
  results: []
13
  ---
14
 
@@ -21,18 +21,18 @@ should probably proofread and complete it, then remove this comment. -->
21
  axolotl version: `0.6.0`
22
  ```yaml
23
  adapter: lora
24
- base_model: facebook/opt-1.3b
25
  bf16: auto
26
  chat_template: llama3
27
  dataset_prepared_path: /workspace/axolotl/data/prepared
28
  datasets:
29
  - ds_type: json
30
  format: custom
31
- path: Aivesa/dataset_46dd44b3-e4e4-4c44-8605-e8e8b6dd956e
32
  type:
33
- field_input: context
34
- field_instruction: question
35
- field_output: answers
36
  system_format: '{system}'
37
  system_prompt: ''
38
  debug: null
@@ -48,7 +48,7 @@ fsdp_config: null
48
  gradient_accumulation_steps: 4
49
  gradient_checkpointing: false
50
  group_by_length: false
51
- hub_model_id: Aivesa/a05b476c-463b-4946-89c4-d93aca81d7e7
52
  hub_private_repo: true
53
  hub_repo: null
54
  hub_strategy: checkpoint
@@ -88,10 +88,10 @@ use_accelerate: true
88
  val_set_size: 0.05
89
  wandb_entity: null
90
  wandb_mode: online
91
- wandb_name: 46dd44b3-e4e4-4c44-8605-e8e8b6dd956e
92
  wandb_project: Gradients-On-Demand
93
  wandb_run: your_name
94
- wandb_runid: 46dd44b3-e4e4-4c44-8605-e8e8b6dd956e
95
  warmup_steps: 10
96
  weight_decay: 0.0
97
  xformers_attention: null
@@ -100,11 +100,11 @@ xformers_attention: null
100
 
101
  </details><br>
102
 
103
- # a05b476c-463b-4946-89c4-d93aca81d7e7
104
 
105
- This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the Aivesa/dataset_46dd44b3-e4e4-4c44-8605-e8e8b6dd956e dataset.
106
  It achieves the following results on the evaluation set:
107
- - Loss: 2.6826
108
 
109
  ## Model description
110
 
@@ -138,9 +138,9 @@ The following hyperparameters were used during training:
138
 
139
  | Training Loss | Epoch | Step | Validation Loss |
140
  |:-------------:|:------:|:----:|:---------------:|
141
- | 15.8191 | 0.0003 | 3 | 4.1197 |
142
- | 17.6309 | 0.0005 | 6 | 3.6521 |
143
- | 11.7024 | 0.0008 | 9 | 2.6826 |
144
 
145
 
146
  ### Framework versions
 
1
  ---
2
  library_name: peft
3
+ license: mit
4
+ base_model: fxmarty/really-tiny-falcon-testing
5
  tags:
6
  - axolotl
7
  - generated_from_trainer
8
  datasets:
9
+ - Aivesa/dataset_e689ce62-a84d-4b12-b3a9-6584b8c9412c
10
  model-index:
11
+ - name: a6d51ef6-d147-47bf-ac9b-6224e8e5b1b5
12
  results: []
13
  ---
14
 
 
21
  axolotl version: `0.6.0`
22
  ```yaml
23
  adapter: lora
24
+ base_model: fxmarty/really-tiny-falcon-testing
25
  bf16: auto
26
  chat_template: llama3
27
  dataset_prepared_path: /workspace/axolotl/data/prepared
28
  datasets:
29
  - ds_type: json
30
  format: custom
31
+ path: Aivesa/dataset_e689ce62-a84d-4b12-b3a9-6584b8c9412c
32
  type:
33
+ field_input: input
34
+ field_instruction: instruction
35
+ field_output: output
36
  system_format: '{system}'
37
  system_prompt: ''
38
  debug: null
 
48
  gradient_accumulation_steps: 4
49
  gradient_checkpointing: false
50
  group_by_length: false
51
+ hub_model_id: Aivesa/a6d51ef6-d147-47bf-ac9b-6224e8e5b1b5
52
  hub_private_repo: true
53
  hub_repo: null
54
  hub_strategy: checkpoint
 
88
  val_set_size: 0.05
89
  wandb_entity: null
90
  wandb_mode: online
91
+ wandb_name: e689ce62-a84d-4b12-b3a9-6584b8c9412c
92
  wandb_project: Gradients-On-Demand
93
  wandb_run: your_name
94
+ wandb_runid: e689ce62-a84d-4b12-b3a9-6584b8c9412c
95
  warmup_steps: 10
96
  weight_decay: 0.0
97
  xformers_attention: null
 
100
 
101
  </details><br>
102
 
103
+ # a6d51ef6-d147-47bf-ac9b-6224e8e5b1b5
104
 
105
+ This model is a fine-tuned version of [fxmarty/really-tiny-falcon-testing](https://huggingface.co/fxmarty/really-tiny-falcon-testing) on the Aivesa/dataset_e689ce62-a84d-4b12-b3a9-6584b8c9412c dataset.
106
  It achieves the following results on the evaluation set:
107
+ - Loss: 10.9675
108
 
109
  ## Model description
110
 
 
138
 
139
  | Training Loss | Epoch | Step | Validation Loss |
140
  |:-------------:|:------:|:----:|:---------------:|
141
+ | 43.9444 | 0.0108 | 3 | 10.9903 |
142
+ | 43.9096 | 0.0215 | 6 | 10.9827 |
143
+ | 43.8975 | 0.0323 | 9 | 10.9675 |
144
 
145
 
146
  ### Framework versions