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--- |
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license: mit |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: HuggingFaceH4/zephyr-7b-beta |
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model-index: |
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- name: experiments500czephymodel |
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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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# experiments500czephymodel |
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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: 0.3252 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3186 | 0.88 | 50 | 0.2878 | |
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| 0.2214 | 1.77 | 100 | 0.2463 | |
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| 0.1555 | 2.65 | 150 | 0.2328 | |
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| 0.0922 | 3.54 | 200 | 0.2362 | |
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| 0.0659 | 4.42 | 250 | 0.2527 | |
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| 0.0373 | 5.31 | 300 | 0.2691 | |
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| 0.0282 | 6.19 | 350 | 0.2968 | |
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| 0.0268 | 7.08 | 400 | 0.2900 | |
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| 0.0251 | 7.96 | 450 | 0.3078 | |
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| 0.0207 | 8.85 | 500 | 0.3252 | |
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| 0.0198 | 9.73 | 550 | 0.3269 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.36.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.15.2 |
