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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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- generated_from_trainer |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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model-index: |
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- name: coinplusfire_llm_2 |
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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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# coinplusfire_llm_2 |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1450 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 2 |
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- num_epochs: 20 |
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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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| 2.2919 | 0.99 | 51 | 1.8319 | |
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| 1.6082 | 1.99 | 103 | 1.6426 | |
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| 1.4689 | 3.0 | 155 | 1.5522 | |
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| 1.3821 | 4.0 | 207 | 1.4883 | |
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| 1.3406 | 4.99 | 258 | 1.4421 | |
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| 1.2592 | 5.99 | 310 | 1.3900 | |
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| 1.2115 | 7.0 | 362 | 1.3508 | |
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| 1.1705 | 8.0 | 414 | 1.3213 | |
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| 1.1555 | 8.99 | 465 | 1.2913 | |
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| 1.1031 | 9.99 | 517 | 1.2629 | |
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| 1.0727 | 11.0 | 569 | 1.2418 | |
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| 1.0481 | 12.0 | 621 | 1.2208 | |
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| 1.0466 | 12.99 | 672 | 1.1971 | |
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| 1.006 | 13.99 | 724 | 1.1864 | |
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| 0.989 | 15.0 | 776 | 1.1732 | |
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| 0.9719 | 16.0 | 828 | 1.1589 | |
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| 0.979 | 16.99 | 879 | 1.1535 | |
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| 0.9494 | 17.99 | 931 | 1.1469 | |
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| 0.9401 | 19.0 | 983 | 1.1449 | |
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| 0.9302 | 19.71 | 1020 | 1.1450 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
