---
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: 0.4003

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 2
- 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: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.4412        | 1.9231  | 500   | 0.4350          |
| 0.4381        | 3.8462  | 1000  | 0.4291          |
| 0.4361        | 5.7692  | 1500  | 0.4394          |
| 0.4382        | 7.6923  | 2000  | 0.4251          |
| 0.4304        | 9.6154  | 2500  | 0.4305          |
| 0.4321        | 11.5385 | 3000  | 0.4226          |
| 0.423         | 13.4615 | 3500  | 0.4271          |
| 0.4204        | 15.3846 | 4000  | 0.4234          |
| 0.4212        | 17.3077 | 4500  | 0.4218          |
| 0.4171        | 19.2308 | 5000  | 0.4209          |
| 0.4116        | 21.1538 | 5500  | 0.4145          |
| 0.4109        | 23.0769 | 6000  | 0.4083          |
| 0.4045        | 25.0    | 6500  | 0.4100          |
| 0.4058        | 26.9231 | 7000  | 0.4095          |
| 0.3992        | 28.8462 | 7500  | 0.4078          |
| 0.402         | 30.7692 | 8000  | 0.4072          |
| 0.3987        | 32.6923 | 8500  | 0.4036          |
| 0.396         | 34.6154 | 9000  | 0.4030          |
| 0.3912        | 36.5385 | 9500  | 0.4010          |
| 0.3937        | 38.4615 | 10000 | 0.4003          |


### Framework versions

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