metadata
base_model: vinai/bertweet-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bertweet-large_2_4_2e-05_0.01
results: []
bertweet-large_2_4_2e-05_0.01
This model is a fine-tuned version of vinai/bertweet-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4839
- Accuracy: 0.9021
- F1: 0.8675
- Precision: 0.8754
- Recall: 0.8597
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4682 | 1.0 | 2317 | 0.4096 | 0.8943 | 0.8554 | 0.8727 | 0.8388 |
| 0.1787 | 2.0 | 4634 | 0.4839 | 0.9021 | 0.8675 | 0.8754 | 0.8597 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3