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--- |
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license: apache-2.0 |
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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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datasets: |
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- generator |
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base_model: teknium/OpenHermes-2.5-Mistral-7B |
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model-index: |
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- name: teknium/OpenHermes-2.5-Mistral-7B |
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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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# teknium/OpenHermes-2.5-Mistral-7B |
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This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4764 |
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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: 32 |
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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: 0.03 |
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- training_steps: 220 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6429 | 0.23 | 10 | 1.3400 | |
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| 1.2684 | 0.47 | 20 | 1.0591 | |
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| 1.0218 | 0.7 | 30 | 0.8600 | |
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| 0.8095 | 0.93 | 40 | 0.7113 | |
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| 0.6887 | 1.16 | 50 | 0.6353 | |
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| 0.6207 | 1.4 | 60 | 0.5958 | |
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| 0.5726 | 1.63 | 70 | 0.5717 | |
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| 0.5639 | 1.86 | 80 | 0.5548 | |
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| 0.5496 | 2.09 | 90 | 0.5409 | |
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| 0.5353 | 2.33 | 100 | 0.5297 | |
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| 0.4968 | 2.56 | 110 | 0.5204 | |
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| 0.5031 | 2.79 | 120 | 0.5118 | |
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| 0.4906 | 3.02 | 130 | 0.5053 | |
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| 0.4671 | 3.26 | 140 | 0.5015 | |
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| 0.4734 | 3.49 | 150 | 0.4960 | |
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| 0.4734 | 3.72 | 160 | 0.4890 | |
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| 0.4522 | 3.95 | 170 | 0.4857 | |
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| 0.44 | 4.19 | 180 | 0.4824 | |
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| 0.4376 | 4.42 | 190 | 0.4797 | |
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| 0.4361 | 4.65 | 200 | 0.4778 | |
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| 0.4428 | 4.88 | 210 | 0.4769 | |
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| 0.4591 | 5.12 | 220 | 0.4764 | |
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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 2.16.1 |
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- Tokenizers 0.15.0 |
