---
base_model: shreyas-dev/indian-penal-code-mistral-7b-sft-model
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: indian-penal-code-mistral-7b-sft
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/2021sc04650-bits-pilani/Indian_Penal_Code_Mistral_7B_SFT_Feature/runs/hh9a4z1o)
# indian-penal-code-mistral-7b-sft

This model is a fine-tuned version of [shreyas-dev/indian-penal-code-mistral-7b-sft-model](https://huggingface.co/shreyas-dev/indian-penal-code-mistral-7b-sft-model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3955

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3852        | 0.9790 | 35   | 1.3957          |
| 1.2922        | 1.9860 | 71   | 1.3854          |
| 1.1994        | 2.9371 | 105  | 1.3955          |


### Framework versions

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