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anhnv125
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reward-model

Text Classification
Transformers
PyTorch
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
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anhnv125/reward-model

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Files changed (4) hide show
  1. .ipynb_checkpoints/README-checkpoint.md +74 -0
  2. README.md +3 -17
  3. model.safetensors +1 -1
  4. training_args.bin +2 -2
.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ base_model: ChaiML/reward_models_100_170000000_cp_498032
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: reward-model
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+ results: []
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+ ---
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+
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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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+
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+ # reward-model
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+
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+ This model is a fine-tuned version of [ChaiML/reward_models_100_170000000_cp_498032](https://huggingface.co/ChaiML/reward_models_100_170000000_cp_498032) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5733
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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+ - seed: 7
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 48
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5918 | 0.12 | 200 | 0.6011 |
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+ | 0.5998 | 0.24 | 400 | 0.5911 |
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+ | 0.59 | 0.36 | 600 | 0.5863 |
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+ | 0.585 | 0.49 | 800 | 0.5823 |
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+ | 0.5646 | 0.61 | 1000 | 0.5803 |
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+ | 0.6048 | 0.73 | 1200 | 0.5773 |
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+ | 0.6041 | 0.85 | 1400 | 0.5784 |
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+ | 0.5694 | 0.97 | 1600 | 0.5747 |
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+ | 0.5855 | 1.09 | 1800 | 0.5767 |
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+ | 0.5764 | 1.22 | 2000 | 0.5764 |
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+ | 0.5606 | 1.34 | 2200 | 0.5799 |
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+ | 0.5583 | 1.46 | 2400 | 0.5778 |
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+ | 0.5656 | 1.58 | 2600 | 0.5731 |
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+ | 0.5812 | 1.7 | 2800 | 0.5747 |
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+ | 0.5911 | 1.82 | 3000 | 0.5731 |
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+ | 0.5771 | 1.94 | 3200 | 0.5733 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ChaiML/reward_models_100_170000000_cp_498032](https://huggingface.co/ChaiML/reward_models_100_170000000_cp_498032) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5733
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  ## Model description
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@@ -48,22 +48,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.5918 | 0.12 | 200 | 0.6011 |
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- | 0.5998 | 0.24 | 400 | 0.5911 |
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- | 0.59 | 0.36 | 600 | 0.5863 |
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- | 0.585 | 0.49 | 800 | 0.5823 |
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- | 0.5646 | 0.61 | 1000 | 0.5803 |
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- | 0.6048 | 0.73 | 1200 | 0.5773 |
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- | 0.6041 | 0.85 | 1400 | 0.5784 |
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- | 0.5694 | 0.97 | 1600 | 0.5747 |
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- | 0.5855 | 1.09 | 1800 | 0.5767 |
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- | 0.5764 | 1.22 | 2000 | 0.5764 |
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- | 0.5606 | 1.34 | 2200 | 0.5799 |
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- | 0.5583 | 1.46 | 2400 | 0.5778 |
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- | 0.5656 | 1.58 | 2600 | 0.5731 |
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- | 0.5812 | 1.7 | 2800 | 0.5747 |
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- | 0.5911 | 1.82 | 3000 | 0.5731 |
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- | 0.5771 | 1.94 | 3200 | 0.5733 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ChaiML/reward_models_100_170000000_cp_498032](https://huggingface.co/ChaiML/reward_models_100_170000000_cp_498032) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5080
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5245 | 1.0 | 388 | 0.5152 |
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+ | 0.5334 | 2.0 | 776 | 0.5080 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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