metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: boss-sentiment-1500-bert-base-uncased
results: []
boss-sentiment-1500-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: 0.6639
- Acc: 0.8128
- Loss: 0.9879
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 |
|---|---|---|---|---|---|
| No log | 1.0 | 94 | 0.4638 | 0.6355 | 1.0296 |
| No log | 2.0 | 188 | 0.6014 | 0.8005 | 0.5842 |
| No log | 3.0 | 282 | 0.6925 | 0.8577 | 0.3928 |
| No log | 4.0 | 376 | 0.6529 | 0.7895 | 0.6497 |
| No log | 5.0 | 470 | 0.6965 | 0.8595 | 0.5122 |
| 0.5499 | 6.0 | 564 | 0.6758 | 0.8256 | 0.7653 |
| 0.5499 | 7.0 | 658 | 0.6720 | 0.8277 | 0.8562 |
| 0.5499 | 8.0 | 752 | 0.6639 | 0.8128 | 0.9879 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1