|
--- |
|
library_name: transformers |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: train_2 |
|
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. --> |
|
|
|
# train_2 |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1153 |
|
|
|
## 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: 128 |
|
- eval_batch_size: 128 |
|
- seed: 42 |
|
- optimizer: Use OptimizerNames.ADAMW_APEX_FUSED with betas=(0.826646043090655,0.991636944120939) and epsilon=3.4341677539323e-07 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 5000 |
|
- num_epochs: 200 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.0237 | 1.0 | 18731 | 0.1124 | |
|
| 0.0216 | 2.0 | 37462 | 0.1128 | |
|
| 0.0201 | 3.0 | 56193 | 0.1153 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.50.3 |
|
- Pytorch 2.6.0+cu126 |
|
- Datasets 3.3.0 |
|
- Tokenizers 0.21.1 |
|
|
