CollectedDataModel
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.4302 | 0.9913 | 100 | 0.4359 |
| 0.4275 | 1.9827 | 200 | 0.4396 |
| 0.4208 | 2.9740 | 300 | 0.4366 |
| 0.4217 | 3.9653 | 400 | 0.4389 |
| 0.4154 | 4.9566 | 500 | 0.4282 |
| 0.4173 | 5.9480 | 600 | 0.4362 |
| 0.4127 | 6.9393 | 700 | 0.4378 |
| 0.4104 | 7.9306 | 800 | 0.4340 |
| 0.4076 | 8.9219 | 900 | 0.4347 |
| 0.4065 | 9.9133 | 1000 | 0.4365 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
