---
library_name: peft
license: apache-2.0
base_model: unsloth/tinyllama-chat-bnb-4bit
tags:
- unsloth
- generated_from_trainer
model-index:
- name: telugu_colloquial_dataset
  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. -->

# telugu_colloquial_dataset

This model is a fine-tuned version of [unsloth/tinyllama-chat-bnb-4bit](https://huggingface.co/unsloth/tinyllama-chat-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1747

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.344         | 0.8   | 2    | 7.5379          |
| 6.3794        | 1.4   | 4    | 7.5379          |
| 6.2252        | 2.0   | 6    | 7.5379          |
| 4.7958        | 2.8   | 8    | 7.3706          |
| 1.3834        | 3.4   | 10   | 4.3751          |
| 1.1045        | 4.0   | 12   | 5.1464          |
| 0.9427        | 4.8   | 14   | 4.9710          |
| 0.8191        | 5.4   | 16   | 4.5209          |
| 0.61          | 6.0   | 18   | 3.9120          |
| 0.5775        | 6.8   | 20   | 3.1747          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0