metadata
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- f1
- recall
model-index:
- name: bertweet-base
results: []
bertweet-base
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: 0.6568
- F1 Macro: 0.3902
- F1: 0.7805
- F1 Neg: 0.0
- Acc: 0.64
- Prec: 0.64
- Recall: 1.0
- Mcc: 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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 10 | 0.7766 | 0.3902 | 0.7805 | 0.0 | 0.64 | 0.64 | 1.0 | 0.0 |
| No log | 2.0 | 20 | 0.6608 | 0.3902 | 0.7805 | 0.0 | 0.64 | 0.64 | 1.0 | 0.0 |
| No log | 3.0 | 30 | 0.6568 | 0.3902 | 0.7805 | 0.0 | 0.64 | 0.64 | 1.0 | 0.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2