metadata
base_model: vinai/bertweet-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bertweet-large_epoch6_batch4_lr2e-05_w0.005
results: []
bertweet-large_epoch6_batch4_lr2e-05_w0.005
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: 0.5716
- Accuracy: 0.6274
- F1: 0.0
- Precision: 0.0
- Recall: 0.0
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7185 | 1.0 | 788 | 0.6708 | 0.6274 | 0.0 | 0.0 | 0.0 |
| 0.6791 | 2.0 | 1576 | 0.6699 | 0.6274 | 0.0 | 0.0 | 0.0 |
| 0.6781 | 3.0 | 2364 | 0.8322 | 0.6274 | 0.0 | 0.0 | 0.0 |
| 0.6609 | 4.0 | 3152 | 0.7472 | 0.6274 | 0.0 | 0.0 | 0.0 |
| 0.6673 | 5.0 | 3940 | 0.6602 | 0.6274 | 0.0 | 0.0 | 0.0 |
| 0.6166 | 6.0 | 4728 | 0.5716 | 0.6274 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3