PEFT
Safetensors
qwen2
axolotl
Generated from Trainer
Aivesa commited on
Commit
23e7496
·
verified ·
1 Parent(s): 1c9bc06

End of training

Browse files
Files changed (1) hide show
  1. README.md +17 -17
README.md CHANGED
@@ -1,13 +1,13 @@
1
  ---
2
  library_name: peft
3
- base_model: katuni4ka/tiny-random-dbrx
4
  tags:
5
  - axolotl
6
  - generated_from_trainer
7
  datasets:
8
- - Aivesa/dataset_91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
9
  model-index:
10
- - name: 9ca903fa-6751-47be-878c-9d6d6285af45
11
  results: []
12
  ---
13
 
@@ -20,18 +20,18 @@ should probably proofread and complete it, then remove this comment. -->
20
  axolotl version: `0.6.0`
21
  ```yaml
22
  adapter: lora
23
- base_model: katuni4ka/tiny-random-dbrx
24
  bf16: auto
25
  chat_template: llama3
26
  dataset_prepared_path: /workspace/axolotl/data/prepared
27
  datasets:
28
  - ds_type: json
29
  format: custom
30
- path: Aivesa/dataset_91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
31
  type:
32
- field_input: context
33
- field_instruction: instruction
34
- field_output: response
35
  system_format: '{system}'
36
  system_prompt: ''
37
  debug: null
@@ -47,7 +47,7 @@ fsdp_config: null
47
  gradient_accumulation_steps: 4
48
  gradient_checkpointing: false
49
  group_by_length: false
50
- hub_model_id: Aivesa/9ca903fa-6751-47be-878c-9d6d6285af45
51
  hub_private_repo: true
52
  hub_repo: null
53
  hub_strategy: checkpoint
@@ -87,10 +87,10 @@ use_accelerate: true
87
  val_set_size: 0.05
88
  wandb_entity: null
89
  wandb_mode: online
90
- wandb_name: 91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
91
  wandb_project: Gradients-On-Demand
92
  wandb_run: your_name
93
- wandb_runid: 91d2e9f8-99da-4b30-8acb-ee8b1520d1bc
94
  warmup_steps: 10
95
  weight_decay: 0.0
96
  xformers_attention: null
@@ -99,11 +99,11 @@ xformers_attention: null
99
 
100
  </details><br>
101
 
102
- # 9ca903fa-6751-47be-878c-9d6d6285af45
103
 
104
- This model is a fine-tuned version of [katuni4ka/tiny-random-dbrx](https://huggingface.co/katuni4ka/tiny-random-dbrx) on the Aivesa/dataset_91d2e9f8-99da-4b30-8acb-ee8b1520d1bc dataset.
105
  It achieves the following results on the evaluation set:
106
- - Loss: 11.5
107
 
108
  ## Model description
109
 
@@ -137,9 +137,9 @@ The following hyperparameters were used during training:
137
 
138
  | Training Loss | Epoch | Step | Validation Loss |
139
  |:-------------:|:------:|:----:|:---------------:|
140
- | 46.0 | 0.0001 | 3 | 11.5 |
141
- | 46.0 | 0.0002 | 6 | 11.5 |
142
- | 46.0 | 0.0003 | 9 | 11.5 |
143
 
144
 
145
  ### Framework versions
 
1
  ---
2
  library_name: peft
3
+ base_model: peft-internal-testing/tiny-dummy-qwen2
4
  tags:
5
  - axolotl
6
  - generated_from_trainer
7
  datasets:
8
+ - Aivesa/dataset_d1e7b285-efbb-4369-bed7-57c1a3753b0b
9
  model-index:
10
+ - name: c54c306a-c851-4242-bb27-3011d64be847
11
  results: []
12
  ---
13
 
 
20
  axolotl version: `0.6.0`
21
  ```yaml
22
  adapter: lora
23
+ base_model: peft-internal-testing/tiny-dummy-qwen2
24
  bf16: auto
25
  chat_template: llama3
26
  dataset_prepared_path: /workspace/axolotl/data/prepared
27
  datasets:
28
  - ds_type: json
29
  format: custom
30
+ path: Aivesa/dataset_d1e7b285-efbb-4369-bed7-57c1a3753b0b
31
  type:
32
+ field_input: raw_text
33
+ field_instruction: tokenized
34
+ field_output: lemmatized
35
  system_format: '{system}'
36
  system_prompt: ''
37
  debug: null
 
47
  gradient_accumulation_steps: 4
48
  gradient_checkpointing: false
49
  group_by_length: false
50
+ hub_model_id: Aivesa/c54c306a-c851-4242-bb27-3011d64be847
51
  hub_private_repo: true
52
  hub_repo: null
53
  hub_strategy: checkpoint
 
87
  val_set_size: 0.05
88
  wandb_entity: null
89
  wandb_mode: online
90
+ wandb_name: d1e7b285-efbb-4369-bed7-57c1a3753b0b
91
  wandb_project: Gradients-On-Demand
92
  wandb_run: your_name
93
+ wandb_runid: d1e7b285-efbb-4369-bed7-57c1a3753b0b
94
  warmup_steps: 10
95
  weight_decay: 0.0
96
  xformers_attention: null
 
99
 
100
  </details><br>
101
 
102
+ # c54c306a-c851-4242-bb27-3011d64be847
103
 
104
+ This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the Aivesa/dataset_d1e7b285-efbb-4369-bed7-57c1a3753b0b dataset.
105
  It achieves the following results on the evaluation set:
106
+ - Loss: 11.9475
107
 
108
  ## Model description
109
 
 
137
 
138
  | Training Loss | Epoch | Step | Validation Loss |
139
  |:-------------:|:------:|:----:|:---------------:|
140
+ | 11.9458 | 0.0014 | 3 | 11.9480 |
141
+ | 11.9498 | 0.0027 | 6 | 11.9478 |
142
+ | 11.9488 | 0.0041 | 9 | 11.9475 |
143
 
144
 
145
  ### Framework versions