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--- |
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license: other |
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library_name: peft |
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tags: |
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- trl |
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- reward-trainer |
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- generated_from_trainer |
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base_model: google/gemma-2b |
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metrics: |
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- accuracy |
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model-index: |
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- name: gemma_2b_oasst1_reward_model |
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results: [] |
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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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# gemma_2b_oasst1_reward_model |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4481 |
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- Accuracy: 0.8036 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 10 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4696 | 0.38 | 100 | 0.5181 | 0.7542 | |
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| 0.4327 | 0.76 | 200 | 0.4738 | 0.8025 | |
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| 0.3946 | 1.15 | 300 | 0.5145 | 0.7924 | |
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| 0.3372 | 1.53 | 400 | 0.5370 | 0.7890 | |
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| 0.3618 | 1.91 | 500 | 0.4481 | 0.8036 | |
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| 0.3292 | 2.29 | 600 | 0.4799 | 0.7991 | |
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| 0.4514 | 2.68 | 700 | 0.4763 | 0.8013 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
