metadata
tags:
- generated_from_trainer
model-index:
- name: tuned_Videberta_base_after_big
results: []
tuned_Videberta_base_after_big
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2816
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2435 | 1.0 | 1369 | 1.9326 |
| 2.038 | 2.0 | 2738 | 1.8181 |
| 1.8689 | 3.0 | 4107 | 1.6199 |
| 1.7463 | 4.0 | 5476 | 1.5103 |
| 1.5708 | 5.0 | 6845 | 1.4584 |
| 1.4138 | 6.0 | 8214 | 1.4221 |
| 1.3471 | 7.0 | 9583 | 1.3381 |
| 1.2514 | 8.0 | 10952 | 1.2927 |
| 1.2016 | 9.0 | 12321 | 1.2848 |
| 1.1532 | 10.0 | 13690 | 1.2816 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1