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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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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
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metrics: |
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- accuracy |
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model-index: |
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- name: layer-project |
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results: [] |
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datasets: |
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- hanyinwang/layer-project-reward-training |
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language: |
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- en |
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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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# layer-project |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0064 |
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- Accuracy: 1.0 |
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## Model description |
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The model is fine-tuned as a reward function for RLHF finetuning. |
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## Intended uses & limitations |
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The model is trained on very limited data. |
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## Training and evaluation data |
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[hanyinwang/layer-project-reward-training](https://huggingface.co/datasets/hanyinwang/layer-project-reward-training) |
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### Training hyperparameters |
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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: 16 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 20 |
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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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| 0.0365 | 1.0 | 5 | 0.0393 | 1.0 | |
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| 0.0142 | 2.0 | 10 | 0.0349 | 1.0 | |
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| 0.0228 | 3.0 | 15 | 0.0295 | 1.0 | |
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| 0.0157 | 4.0 | 20 | 0.0249 | 1.0 | |
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| 0.0153 | 5.0 | 25 | 0.0211 | 1.0 | |
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| 0.0117 | 6.0 | 30 | 0.0181 | 1.0 | |
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| 0.0072 | 7.0 | 35 | 0.0155 | 1.0 | |
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| 0.0121 | 8.0 | 40 | 0.0135 | 1.0 | |
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| 0.0097 | 9.0 | 45 | 0.0119 | 1.0 | |
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| 0.008 | 10.0 | 50 | 0.0106 | 1.0 | |
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| 0.0055 | 11.0 | 55 | 0.0095 | 1.0 | |
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| 0.0046 | 12.0 | 60 | 0.0087 | 1.0 | |
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| 0.0085 | 13.0 | 65 | 0.0081 | 1.0 | |
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| 0.0046 | 14.0 | 70 | 0.0076 | 1.0 | |
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| 0.0059 | 15.0 | 75 | 0.0072 | 1.0 | |
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| 0.0044 | 16.0 | 80 | 0.0069 | 1.0 | |
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| 0.0021 | 17.0 | 85 | 0.0067 | 1.0 | |
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| 0.0039 | 18.0 | 90 | 0.0066 | 1.0 | |
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| 0.0027 | 19.0 | 95 | 0.0065 | 1.0 | |
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| 0.0039 | 20.0 | 100 | 0.0064 | 1.0 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
