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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-dict-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-dict-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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0971 |
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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: 0.00025 |
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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: 150 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5253 | 0.02 | 10 | 1.2809 | |
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| 0.6095 | 0.04 | 20 | 1.3211 | |
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| 0.6344 | 0.06 | 30 | 1.2456 | |
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| 0.6884 | 0.08 | 40 | 1.2517 | |
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| 0.8843 | 0.1 | 50 | 1.1908 | |
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| 1.1089 | 0.12 | 60 | 1.1586 | |
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| 1.1403 | 0.14 | 70 | 1.1397 | |
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| 1.1651 | 0.16 | 80 | 1.1363 | |
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| 1.2073 | 0.18 | 90 | 1.1258 | |
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| 1.1118 | 0.2 | 100 | 1.1154 | |
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| 1.0701 | 0.22 | 110 | 1.1106 | |
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| 1.1988 | 0.24 | 120 | 1.1064 | |
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| 1.1405 | 0.26 | 130 | 1.1029 | |
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| 1.0875 | 0.28 | 140 | 1.0986 | |
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| 1.1385 | 0.3 | 150 | 1.0971 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
