metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: BERiT_27000
results: []
BERiT_27000
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.3744
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-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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.7297 | 0.19 | 500 | 8.5541 |
| 8.5592 | 0.39 | 1000 | 8.5536 |
| 8.4892 | 0.58 | 1500 | 8.5554 |
| 8.5288 | 0.77 | 2000 | 8.4786 |
| 8.5034 | 0.97 | 2500 | 8.4756 |
| 8.3497 | 1.16 | 3000 | 8.4821 |
| 8.4516 | 1.36 | 3500 | 8.4742 |
| 8.4224 | 1.55 | 4000 | 8.3972 |
| 8.3356 | 1.74 | 4500 | 8.4158 |
| 8.3805 | 1.94 | 5000 | 8.3800 |
| 8.2947 | 2.13 | 5500 | 8.4242 |
| 8.2475 | 2.32 | 6000 | 8.4334 |
| 8.2708 | 2.52 | 6500 | 8.3504 |
| 8.2559 | 2.71 | 7000 | 8.4211 |
| 8.3676 | 2.9 | 7500 | 8.3744 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2