metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-finetuned-nlp-letters-s1_s2-pronouns-class-weighted
results: []
roberta-base-finetuned-nlp-letters-s1_s2-pronouns-class-weighted
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9811
- F1: 0.7930
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 221 | 0.4770 | 0.4349 |
| No log | 2.0 | 442 | 0.4274 | 0.6585 |
| 0.4682 | 3.0 | 663 | 0.4237 | 0.4813 |
| 0.4682 | 4.0 | 884 | 0.9811 | 0.7930 |
| 0.3471 | 5.0 | 1105 | 0.7504 | 0.7712 |
| 0.3471 | 6.0 | 1326 | 1.0192 | 0.7615 |
| 0.2611 | 7.0 | 1547 | 1.2847 | 0.7700 |
| 0.2611 | 8.0 | 1768 | 1.5530 | 0.7729 |
| 0.2611 | 9.0 | 1989 | 1.4447 | 0.7483 |
| 0.1835 | 10.0 | 2210 | 1.6960 | 0.7654 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1