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--- |
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license: mit |
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base_model: HuggingFaceH4/zephyr-7b-beta |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6394 |
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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: 2.5e-05 |
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- train_batch_size: 4 |
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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: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.367 | 0.35 | 100 | 1.3594 | |
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| 0.774 | 0.69 | 200 | 0.9080 | |
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| 0.7724 | 1.04 | 300 | 0.7654 | |
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| 0.6987 | 1.39 | 400 | 0.7205 | |
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| 0.6482 | 1.74 | 500 | 0.6828 | |
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| 0.5204 | 2.08 | 600 | 0.6499 | |
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| 0.5828 | 2.43 | 700 | 0.6353 | |
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| 0.522 | 2.78 | 800 | 0.6170 | |
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| 0.3334 | 3.12 | 900 | 0.6522 | |
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| 0.3643 | 3.47 | 1000 | 0.6149 | |
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| 0.3551 | 3.82 | 1100 | 0.6138 | |
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| 0.3144 | 4.17 | 1200 | 0.6430 | |
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| 0.3194 | 4.51 | 1300 | 0.6468 | |
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| 0.3341 | 4.86 | 1400 | 0.6287 | |
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| 0.2982 | 5.21 | 1500 | 0.6403 | |
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| 0.3056 | 5.56 | 1600 | 0.6394 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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