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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-Instruct-v0.2 |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: mistral-7b-32k-billm-finetuned-token-classification-segmentwise |
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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-7b-32k-billm-finetuned-token-classification-segmentwise |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4998 |
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- Precision: 0.0 |
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- Recall: 0.0 |
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- F1: 0.0 |
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- Accuracy: 0.7829 |
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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: 0.001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| |
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| No log | 0.9784 | 34 | 0.9557 | 0.0 | 0.0 | 0.0 | 0.7596 | |
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| No log | 1.9856 | 69 | 0.7691 | 0.0 | 0.0 | 0.0 | 0.7707 | |
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| No log | 2.9928 | 104 | 0.7086 | 0.0 | 0.0 | 0.0 | 0.7794 | |
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| No log | 4.0 | 139 | 0.5693 | 0.0 | 0.0 | 0.0 | 0.7697 | |
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| No log | 4.9784 | 173 | 0.5449 | 0.0 | 0.0 | 0.0 | 0.7758 | |
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| No log | 5.9856 | 208 | 0.5168 | 0.0 | 0.0 | 0.0 | 0.7805 | |
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| No log | 6.9928 | 243 | 0.5379 | 0.0 | 0.0 | 0.0 | 0.7838 | |
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| No log | 8.0 | 278 | 0.5301 | 0.0 | 0.0 | 0.0 | 0.7847 | |
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| No log | 8.9784 | 312 | 0.5007 | 0.0 | 0.0 | 0.0 | 0.7829 | |
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| No log | 9.7842 | 340 | 0.4998 | 0.0 | 0.0 | 0.0 | 0.7829 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.2.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
