metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: class_stand_model
results: []
class_stand_model
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6650
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: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9748 | 29 | 2.5157 |
| 2.5054 | 1.9916 | 59 | 2.4631 |
| 2.5054 | 2.9748 | 88 | 2.4333 |
| 2.2607 | 3.9916 | 118 | 2.4291 |
| 2.2607 | 4.9748 | 147 | 2.4790 |
| 1.8979 | 5.9916 | 177 | 2.5425 |
| 1.5637 | 6.9748 | 206 | 2.6650 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1