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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-Nemo-Instruct-2407
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tags:
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- generated_from_trainer
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model-index:
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- name: Mistral-Nemo-Instruct-2407-finetuned-squad
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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-Nemo-Instruct-2407-finetuned-squad |
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This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 20.5636 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 2 | 22.0425 | |
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| No log | 2.0 | 4 | 21.0053 | |
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| No log | 3.0 | 6 | 20.5636 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu118 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
