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--- |
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license: apache-2.0 |
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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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metrics: |
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- accuracy |
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base_model: AI-Sweden-Models/gpt-sw3-1.3b |
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model-index: |
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- name: gpt1B_reward_model2 |
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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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# gpt1B_reward_model2 |
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This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Accuracy: 1.0 |
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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: 3e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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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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| 0.0 | 0.11 | 200 | 0.0124 | 0.9930 | |
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| 0.0002 | 0.22 | 400 | 0.0034 | 0.9965 | |
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| 0.0 | 0.33 | 600 | 0.0003 | 1.0 | |
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| 0.0 | 0.44 | 800 | 0.0003 | 1.0 | |
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| 0.0 | 0.55 | 1000 | 0.0003 | 1.0 | |
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| 0.0 | 0.65 | 1200 | 0.0004 | 1.0 | |
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| 0.0 | 0.76 | 1400 | 0.0000 | 1.0 | |
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| 0.0 | 0.87 | 1600 | 0.0000 | 1.0 | |
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| 0.0 | 0.98 | 1800 | 0.0000 | 1.0 | |
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| 0.0 | 1.09 | 2000 | 0.0000 | 1.0 | |
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| 0.0 | 1.2 | 2200 | 0.0000 | 1.0 | |
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| 0.0001 | 1.31 | 2400 | 0.0000 | 1.0 | |
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| 0.0 | 1.42 | 2600 | 0.0000 | 1.0 | |
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| 0.0 | 1.53 | 2800 | 0.0000 | 1.0 | |
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| 0.0 | 1.64 | 3000 | 0.0000 | 1.0 | |
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| 0.0 | 1.75 | 3200 | 0.0000 | 1.0 | |
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| 0.0 | 1.85 | 3400 | 0.0000 | 1.0 | |
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| 0.0 | 1.96 | 3600 | 0.0000 | 1.0 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.1 |
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- Pytorch 2.2.0+cu118 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
