Ben Buddendorff commited on
Commit
9548349
·
1 Parent(s): 352c3ca

train_residue_list_lr_3e-4_epochs_4

Browse files
README.md CHANGED
@@ -7,19 +7,19 @@ tags:
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  - lora
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  - generated_from_trainer
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  model-index:
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- - name: train_residue_list_lr_5e-4_5_epochs
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  results: []
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  ---
13
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # train_residue_list_lr_5e-4_5_epochs
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  This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5254
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- - Num Input Tokens Seen: 13416448
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0005
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -46,29 +46,27 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 128
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_steps: 50
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- - num_epochs: 5.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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  |:-------------:|:------:|:----:|:---------------:|:-----------------:|
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- | 2.5191 | 0.4561 | 100 | 2.8151 | 1230464 |
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- | 0.5697 | 2.2737 | 500 | 0.5570 | 6120272 |
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- | 0.5411 | 2.7298 | 600 | 0.5424 | 7348944 |
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- | 0.5415 | 3.1824 | 700 | 0.5388 | 8570128 |
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- | 0.5477 | 3.6385 | 800 | 0.5335 | 9801744 |
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- | 0.5305 | 4.0912 | 900 | 0.5296 | 11019520 |
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- | 0.5281 | 4.5473 | 1000 | 0.5262 | 12247168 |
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  ### Framework versions
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  - PEFT 0.14.0
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- - Transformers 4.48.3
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  - Pytorch 2.3.1+cu121
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  - Datasets 3.5.0
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- - Tokenizers 0.21.0
 
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  - lora
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  model-index:
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+ - name: train_residue_list_lr_3e-4_epochs_4
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  results: []
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  ---
13
 
14
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
  should probably proofread and complete it, then remove this comment. -->
16
 
17
+ # train_residue_list_lr_3e-4_epochs_4
18
 
19
  This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2245
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+ - Num Input Tokens Seen: 10733712
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  - total_train_batch_size: 128
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 40
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+ - num_epochs: 4.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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  |:-------------:|:------:|:----:|:---------------:|:-----------------:|
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+ | 0.4689 | 0.4561 | 100 | 0.4738 | 1230464 |
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+ | 0.4141 | 0.9122 | 200 | 0.4266 | 2455680 |
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+ | 0.3463 | 1.3649 | 300 | 0.3486 | 3673744 |
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+ | 0.3069 | 1.8210 | 400 | 0.3009 | 4901648 |
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+ | 0.2464 | 2.2737 | 500 | 0.2616 | 6120272 |
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+ | 0.2138 | 2.7298 | 600 | 0.2381 | 7348944 |
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+ | 0.1573 | 3.1824 | 700 | 0.2320 | 8570128 |
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+ | 0.1488 | 3.6385 | 800 | 0.2253 | 9801744 |
 
 
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  ### Framework versions
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  - PEFT 0.14.0
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+ - Transformers 4.51.3
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  - Pytorch 2.3.1+cu121
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  - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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