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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- anli |
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model-index: |
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- name: sft-trl-no-claim |
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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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# sft-trl-no-claim |
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This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the anli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6203 |
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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: 5e-05 |
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- train_batch_size: 8 |
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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: 100 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.1604 | 0.2 | 1000 | 1.8712 | |
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| 1.0077 | 0.4 | 2000 | 1.4700 | |
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| 0.8175 | 0.6 | 3000 | 1.0772 | |
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| 0.7621 | 0.8 | 4000 | 0.7959 | |
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| 0.3346 | 1.0 | 5000 | 0.7570 | |
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| 0.2903 | 1.2 | 6000 | 0.6882 | |
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| 0.2313 | 1.4 | 7000 | 0.6471 | |
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| 0.3038 | 1.6 | 8000 | 0.6203 | |
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| 0.2292 | 1.8 | 9000 | 0.6203 | |
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| 0.193 | 2.0 | 10000 | 0.6203 | |
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| 0.1198 | 2.2 | 11000 | 0.6203 | |
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| 0.2185 | 2.4 | 12000 | 0.6203 | |
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| 0.1038 | 2.6 | 13000 | 0.6203 | |
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| 0.1469 | 2.8 | 14000 | 0.6203 | |
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| 0.1857 | 3.0 | 15000 | 0.6203 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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