metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-finetuned-nlp-letters-TEXT-pronouns-class-weighted
results: []
roberta-base-finetuned-nlp-letters-TEXT-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: 1.7557
- F1: 0.8044
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 | 0.4593 | 0.4236 |
| No log | 2.0 | 442 | 0.4307 | 0.5753 |
| 0.4853 | 3.0 | 663 | 0.3784 | 0.4976 |
| 0.4853 | 4.0 | 884 | 0.5278 | 0.7330 |
| 0.33 | 5.0 | 1105 | 0.6702 | 0.7826 |
| 0.33 | 6.0 | 1326 | 1.0358 | 0.7902 |
| 0.2344 | 7.0 | 1547 | 1.4908 | 0.7976 |
| 0.2344 | 8.0 | 1768 | 1.7557 | 0.8044 |
| 0.2344 | 9.0 | 1989 | 1.6880 | 0.7958 |
| 0.1325 | 10.0 | 2210 | 1.7969 | 0.7965 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1