---
language:
- ta
license: llama2
library_name: peft
tags:
- trl
- sft
- Tamil-ASR, ASR-fine-tuning, Tamil-llama
- generated_from_trainer
base_model: abhinand/tamil-llama-7b-instruct-v0.1
model-index:
- name: tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning

This model is a fine-tuned version of [abhinand/tamil-llama-7b-instruct-v0.1](https://huggingface.co/abhinand/tamil-llama-7b-instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3527

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4659        | 2.58  | 500  | 4.2383          |
| 1.9248        | 5.17  | 1000 | 4.6944          |
| 1.4112        | 7.75  | 1500 | 5.3527          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1