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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: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: mistral-journal-finetune |
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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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# mistral-journal-finetune |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3365 |
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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: 2 |
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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: 1 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.9309 | 2.0833 | 25 | 1.6414 | |
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| 0.5146 | 4.1667 | 50 | 1.8892 | |
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| 0.2481 | 6.25 | 75 | 1.9643 | |
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| 0.1804 | 8.3333 | 100 | 1.9184 | |
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| 0.1683 | 10.4167 | 125 | 1.9770 | |
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| 0.1582 | 12.5 | 150 | 2.1538 | |
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| 0.1591 | 14.5833 | 175 | 2.1592 | |
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| 0.1509 | 16.6667 | 200 | 2.1474 | |
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| 0.1478 | 18.75 | 225 | 2.1839 | |
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| 0.1465 | 20.8333 | 250 | 2.2255 | |
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| 0.1465 | 22.9167 | 275 | 2.2356 | |
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| 0.1427 | 25.0 | 300 | 2.2581 | |
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| 0.144 | 27.0833 | 325 | 2.2707 | |
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| 0.139 | 29.1667 | 350 | 2.2694 | |
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| 0.1437 | 31.25 | 375 | 2.2956 | |
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| 0.141 | 33.3333 | 400 | 2.3087 | |
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| 0.1359 | 35.4167 | 425 | 2.3056 | |
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| 0.1385 | 37.5 | 450 | 2.3213 | |
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| 0.1363 | 39.5833 | 475 | 2.3332 | |
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| 0.1359 | 41.6667 | 500 | 2.3365 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
