metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-sentiment-12000-bert-base-uncased
results: []
boss-sentiment-12000-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- F1: 0.7380
- Acc: 0.8773
- Loss: 0.9558
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | F1 | Acc | Validation Loss |
|---|---|---|---|---|---|
| 0.929 | 1.0 | 750 | 0.6983 | 0.8609 | 0.4073 |
| 0.481 | 2.0 | 1500 | 0.7179 | 0.8689 | 0.3605 |
| 0.3564 | 3.0 | 2250 | 0.7269 | 0.8703 | 0.3834 |
| 0.2369 | 4.0 | 3000 | 0.7006 | 0.8465 | 0.5631 |
| 0.1536 | 5.0 | 3750 | 0.7237 | 0.8591 | 0.6596 |
| 0.1228 | 6.0 | 4500 | 0.7285 | 0.8660 | 0.7316 |
| 0.0831 | 7.0 | 5250 | 0.7454 | 0.8817 | 0.6420 |
| 0.0687 | 8.0 | 6000 | 0.6955 | 0.8354 | 1.1172 |
| 0.0541 | 9.0 | 6750 | 0.7143 | 0.8479 | 1.0556 |
| 0.0465 | 10.0 | 7500 | 0.7473 | 0.8889 | 0.7691 |
| 0.0404 | 11.0 | 8250 | 0.7209 | 0.8636 | 1.0274 |
| 0.0315 | 12.0 | 9000 | 0.7082 | 0.8401 | 1.2706 |
| 0.0329 | 13.0 | 9750 | 0.7380 | 0.8773 | 0.9558 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1