metadata
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- f1
- recall
- precision
model-index:
- name: bertweet-base_3_4_2e-05_0.01
results: []
bertweet-base_3_4_2e-05_0.01
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: 0.9140
- F1: 0.7655
- Recall: 0.7655
- Precision: 0.7655
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: 4
- eval_batch_size: 4
- 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 | F1 | Recall | Precision |
|---|---|---|---|---|---|---|
| 0.753 | 1.0 | 745 | 0.7215 | 0.7655 | 0.7655 | 0.7655 |
| 0.6313 | 2.0 | 1490 | 0.7928 | 0.7763 | 0.7763 | 0.7763 |
| 0.402 | 3.0 | 2235 | 0.9140 | 0.7655 | 0.7655 | 0.7655 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3