---
library_name: transformers
base_model: fahadqazi/testts1234
tags:
- generated_from_trainer
model-index:
- name: testts1234
  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. -->

# testts1234

This model is a fine-tuned version of [fahadqazi/testts1234](https://huggingface.co/fahadqazi/testts1234) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3086

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3542        | 0.3401 | 50   | 0.3087          |
| 0.3558        | 0.6803 | 100  | 0.3088          |
| 0.3571        | 1.0204 | 150  | 0.3085          |
| 0.3578        | 1.3605 | 200  | 0.3090          |
| 0.3608        | 1.7007 | 250  | 0.3091          |
| 0.3508        | 2.0408 | 300  | 0.3090          |
| 0.3551        | 2.3810 | 350  | 0.3088          |
| 0.3553        | 2.7211 | 400  | 0.3096          |
| 0.3572        | 3.0612 | 450  | 0.3090          |
| 0.3517        | 3.4014 | 500  | 0.3096          |
| 0.3633        | 3.7415 | 550  | 0.3094          |
| 0.3612        | 4.0816 | 600  | 0.3093          |
| 0.3655        | 4.4218 | 650  | 0.3091          |
| 0.3619        | 4.7619 | 700  | 0.3090          |
| 0.3601        | 5.1020 | 750  | 0.3090          |
| 0.3557        | 5.4422 | 800  | 0.3092          |
| 0.3533        | 5.7823 | 850  | 0.3094          |
| 0.3531        | 6.1224 | 900  | 0.3091          |
| 0.3597        | 6.4626 | 950  | 0.3100          |
| 0.3559        | 6.8027 | 1000 | 0.3086          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0