pumpyai commited on
Commit
027027c
·
verified ·
1 Parent(s): 0d62b7f

End of training

Browse files
Files changed (1) hide show
  1. README.md +8 -5
README.md CHANGED
@@ -8,14 +8,14 @@ tags:
8
  - transformers
9
  pipeline_tag: text-generation
10
  model-index:
11
- - name: pumpy-gpt2-lora
12
  results: []
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
  should probably proofread and complete it, then remove this comment. -->
17
 
18
- # pumpy-gpt2-lora
19
 
20
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
21
 
@@ -36,13 +36,16 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - learning_rate: 0.0001
40
- - train_batch_size: 4
41
  - eval_batch_size: 8
42
  - seed: 42
 
 
43
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
44
  - lr_scheduler_type: linear
45
- - num_epochs: 3
 
46
 
47
  ### Training results
48
 
 
8
  - transformers
9
  pipeline_tag: text-generation
10
  model-index:
11
+ - name: pumpy-gpt2
12
  results: []
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
  should probably proofread and complete it, then remove this comment. -->
17
 
18
+ # pumpy-gpt2
19
 
20
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
21
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 0.0002
40
+ - train_batch_size: 8
41
  - eval_batch_size: 8
42
  - seed: 42
43
+ - gradient_accumulation_steps: 4
44
+ - total_train_batch_size: 32
45
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: linear
47
+ - lr_scheduler_warmup_ratio: 0.1
48
+ - num_epochs: 2
49
 
50
  ### Training results
51