Model save
Browse files- README.md +68 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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tags:
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- generated_from_trainer
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model-index:
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- name: mistral7BTextToText
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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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# mistral7BTextToText
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2826
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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: 5e-05
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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: 4
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- total_train_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 3
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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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| 0.4076 | 0.4301 | 50 | 0.3830 |
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| 0.3428 | 0.8602 | 100 | 0.3213 |
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| 0.2873 | 1.2839 | 150 | 0.3017 |
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| 0.2871 | 1.7140 | 200 | 0.2904 |
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| 0.2538 | 2.1376 | 250 | 0.2851 |
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| 0.2496 | 2.5677 | 300 | 0.2826 |
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### Framework versions
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- PEFT 0.15.2
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 54582128
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version https://git-lfs.github.com/spec/v1
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size 54582128
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