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--- |
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license: apache-2.0 |
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base_model: imone/Mistral_7B_with_EOT_token |
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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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datasets: |
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- generator |
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model-index: |
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- name: zephyr-7b-sft-full |
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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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# zephyr-7b-sft-full |
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This model is a fine-tuned version of [imone/Mistral_7B_with_EOT_token](https://huggingface.co/imone/Mistral_7B_with_EOT_token) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1581 |
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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: 2e-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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6823 | 1.0 | 565 | 0.6283 | |
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| 0.4922 | 2.0 | 1130 | 0.3859 | |
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| 0.3003 | 3.0 | 1695 | 0.2350 | |
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| 0.1776 | 4.0 | 2260 | 0.1633 | |
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| 0.0793 | 5.0 | 2825 | 0.1581 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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