metadata
base_model: finiteautomata/bertweet-base-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_IMDB_peft
results: []
model_IMDB_peft
This model is a fine-tuned version of finiteautomata/bertweet-base-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2807
- Accuracy: 0.8894
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3222 | 1.0 | 1563 | 0.3062 | 0.8706 |
| 0.3122 | 2.0 | 3126 | 0.2992 | 0.8770 |
| 0.296 | 3.0 | 4689 | 0.2916 | 0.8825 |
| 0.286 | 4.0 | 6252 | 0.2864 | 0.8847 |
| 0.2723 | 5.0 | 7815 | 0.2843 | 0.8858 |
| 0.2776 | 6.0 | 9378 | 0.2802 | 0.8877 |
| 0.2688 | 7.0 | 10941 | 0.2806 | 0.888 |
| 0.2641 | 8.0 | 12504 | 0.2795 | 0.889 |
| 0.267 | 9.0 | 14067 | 0.2807 | 0.8896 |
| 0.2726 | 10.0 | 15630 | 0.2807 | 0.8894 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.14.0