---
license: apache-2.0
base_model: Dhahlan2000/Chitti-Large-model-for-GPT-v12
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Chitti-Base-model-for-GPT-v13
  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. -->

# Chitti-Base-model-for-GPT-v13

This model is a fine-tuned version of [Dhahlan2000/Chitti-Large-model-for-GPT-v12](https://huggingface.co/Dhahlan2000/Chitti-Large-model-for-GPT-v12) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8350
- Bleu: 5.9886
- Gen Len: 12.23

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.0613        | 1.0   | 18563 | 2.8614          | 5.7037 | 12.3563 |
| 3.0535        | 2.0   | 37126 | 2.8414          | 5.9119 | 12.292  |
| 3.0117        | 3.0   | 55689 | 2.8350          | 5.9886 | 12.23   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1