peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.3 base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3 license:apache-2.0 region:us
---
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Mistral-7B-Instruct-v0.3-CrossLingualJudicialSummarization-mildsum-FirstLast-mistral7B
  results: []
---

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# Mistral-7B-Instruct-v0.3-CrossLingualJudicialSummarization-mildsum-FirstLast-mistral7B

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.
It achieves the following results on the evaluation set:
- Loss: 3.4185

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 13.8032       | 1.8298 | 500  | 3.4570          |
| 13.7244       | 3.6597 | 1000 | 3.4361          |
| 13.671        | 5.4895 | 1500 | 3.4242          |
| 13.6148       | 7.3193 | 2000 | 3.4185          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1