---
library_name: transformers
license: apache-2.0
base_model: KGan31/Doha-Gen
tags:
- generated_from_trainer
model-index:
- name: Doha-Gen-Stage2
  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. -->

# Doha-Gen-Stage2

This model is a fine-tuned version of [KGan31/Doha-Gen](https://huggingface.co/KGan31/Doha-Gen) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4216

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1539        | 1.0   | 469  | 1.4882          |
| 3.0858        | 2.0   | 938  | 1.4550          |
| 2.9968        | 3.0   | 1407 | 1.4354          |
| 2.9461        | 4.0   | 1876 | 1.4252          |
| 2.9195        | 5.0   | 2345 | 1.4216          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2