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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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- trl |
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- sft |
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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: zephyr_instruct_generation |
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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_instruct_generation |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7409 |
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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: 0.0001 |
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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_steps: 0.03 |
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- training_steps: 250 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9344 | 0.4 | 10 | 2.3554 | |
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| 1.822 | 0.8 | 20 | 1.3051 | |
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| 1.0639 | 1.2 | 30 | 0.9542 | |
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| 0.9127 | 1.6 | 40 | 0.8368 | |
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| 0.8577 | 2.0 | 50 | 0.7642 | |
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| 0.7091 | 2.4 | 60 | 0.7175 | |
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| 0.7112 | 2.8 | 70 | 0.6682 | |
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| 0.5931 | 3.2 | 80 | 0.6508 | |
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| 0.5809 | 3.6 | 90 | 0.6226 | |
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| 0.5901 | 4.0 | 100 | 0.5975 | |
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| 0.4863 | 4.4 | 110 | 0.6240 | |
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| 0.5024 | 4.8 | 120 | 0.5896 | |
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| 0.4932 | 5.2 | 130 | 0.6103 | |
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| 0.44 | 5.6 | 140 | 0.6158 | |
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| 0.4737 | 6.0 | 150 | 0.6168 | |
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| 0.4191 | 6.4 | 160 | 0.6859 | |
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| 0.4179 | 6.8 | 170 | 0.6237 | |
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| 0.3921 | 7.2 | 180 | 0.6603 | |
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| 0.3694 | 7.6 | 190 | 0.6766 | |
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| 0.3822 | 8.0 | 200 | 0.6559 | |
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| 0.3495 | 8.4 | 210 | 0.6989 | |
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| 0.341 | 8.8 | 220 | 0.6622 | |
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| 0.333 | 9.2 | 230 | 0.7345 | |
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| 0.3357 | 9.6 | 240 | 0.7215 | |
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| 0.3284 | 10.0 | 250 | 0.7409 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
