metadata
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base
results: []
roberta-base
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5272
- Icm: 0.2125
- Icmnorm: 0.6079
- Fmeasure: 0.7412
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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 193 | 0.5272 | 0.2125 | 0.6079 | 0.7412 |
| No log | 2.0 | 386 | 0.5666 | 0.1794 | 0.5911 | 0.7232 |
| 0.5355 | 3.0 | 579 | 0.5858 | 0.2074 | 0.6054 | 0.7394 |
| 0.5355 | 4.0 | 772 | 0.9107 | 0.0682 | 0.5346 | 0.6930 |
| 0.5355 | 5.0 | 965 | 1.4701 | 0.0555 | 0.5282 | 0.6870 |
| 0.2599 | 6.0 | 1158 | 1.5765 | 0.1378 | 0.5700 | 0.7162 |
| 0.2599 | 7.0 | 1351 | 1.8163 | 0.1302 | 0.5661 | 0.7128 |
| 0.1043 | 8.0 | 1544 | 1.8608 | 0.1134 | 0.5576 | 0.7074 |
| 0.1043 | 9.0 | 1737 | 1.8539 | 0.1403 | 0.5713 | 0.7171 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2