metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bertweet-finetuned-rbam
results: []
bertweet-finetuned-rbam
This model is a fine-tuned version of vinai/bertweet-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3971
- F1: 0.6620
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.7138 | 1.0 | 1632 | 0.7529 | 0.6814 |
| 0.5692 | 2.0 | 3264 | 0.8473 | 0.6803 |
| 0.4126 | 3.0 | 4896 | 1.0029 | 0.6617 |
| 0.2854 | 4.0 | 6528 | 1.2167 | 0.6635 |
| 0.2007 | 5.0 | 8160 | 1.3971 | 0.6620 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0