metadata
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: taskB-bertweet-base-trainer-1.0.0
results: []
taskB-bertweet-base-trainer-1.0.0
This model is a fine-tuned version of vinai/bertweet-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3560
- Accuracy: 0.4866
- F1: 0.6128
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1098 | 1.0 | 601 | 0.4063 | 0.1169 | 0.2635 |
| 0.0809 | 2.0 | 1202 | 0.3560 | 0.4866 | 0.6128 |
| 0.0466 | 3.0 | 1803 | 0.4027 | 0.5690 | 0.6781 |
| 0.0138 | 4.0 | 2404 | 0.4308 | 0.6073 | 0.6979 |
| 0.0122 | 5.0 | 3005 | 0.4105 | 0.6322 | 0.7233 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1