metadata
tags:
- generated_from_trainer
model-index:
- name: bertweet-base-SNS_BRANDS_200k
results: []
bertweet-base-SNS_BRANDS_200k
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: 0.0468
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0426 | 1.0 | 5882 | 0.0342 |
| 0.0276 | 2.0 | 11764 | 0.0240 |
| 0.0566 | 3.0 | 17646 | 0.0591 |
| 0.0448 | 4.0 | 23528 | 0.0468 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.10.3