---
base_model: unsloth/mistral-7b-bnb-4bit
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: judicial-summarization-mistral7b-3-finetuned_sci-headnotes_maxData
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# judicial-summarization-mistral7b-3-finetuned_sci-headnotes_maxData

This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7640

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9986        | 1.0   | 726  | 1.1605          |
| 1.1377        | 2.0   | 1452 | 1.1562          |
| 0.8611        | 3.0   | 2178 | 1.2047          |
| 0.6421        | 4.0   | 2904 | 1.3200          |
| 0.4458        | 5.0   | 3630 | 1.5051          |
| 0.2914        | 6.0   | 4356 | 1.7640          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1