|
--- |
|
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: 0.3092 |
|
|
|
## 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-06 |
|
- 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: cosine |
|
- training_steps: 1500 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-------:|:----:|:---------------:| |
|
| 0.3565 | 0.6803 | 100 | 0.3094 | |
|
| 0.3532 | 1.3605 | 200 | 0.3091 | |
|
| 0.3528 | 2.0408 | 300 | 0.3084 | |
|
| 0.3619 | 2.7211 | 400 | 0.3092 | |
|
| 0.3574 | 3.4014 | 500 | 0.3088 | |
|
| 0.3584 | 4.0816 | 600 | 0.3090 | |
|
| 0.3526 | 4.7619 | 700 | 0.3090 | |
|
| 0.356 | 5.4422 | 800 | 0.3087 | |
|
| 0.3528 | 6.1224 | 900 | 0.3085 | |
|
| 0.353 | 6.8027 | 1000 | 0.3091 | |
|
| 0.3606 | 7.4830 | 1100 | 0.3087 | |
|
| 0.3531 | 8.1633 | 1200 | 0.3088 | |
|
| 0.3581 | 8.8435 | 1300 | 0.3088 | |
|
| 0.3503 | 9.5238 | 1400 | 0.3086 | |
|
| 0.3458 | 10.2041 | 1500 | 0.3092 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.1 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
