---
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: 0.3365

## 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: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use 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: 200
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 3.1545        | 3.8474  | 1000 | 0.3448          |
| 3.1205        | 7.6933  | 2000 | 0.3425          |
| 3.0913        | 11.5392 | 3000 | 0.3408          |
| 3.0625        | 15.3852 | 4000 | 0.3379          |
| 3.0456        | 19.2311 | 5000 | 0.3365          |


### Framework versions

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