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---
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 |