metadata
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: Sentiment-Analysis-Model
results: []
Sentiment-Analysis-Model
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7202
- F1 Score: 0.6921
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 | F1 Score |
|---|---|---|---|---|
| 0.8571 | 0.5 | 500 | 0.7520 | 0.6771 |
| 0.7848 | 1.0 | 1000 | 0.7468 | 0.6780 |
| 0.8367 | 1.5 | 1500 | 0.8781 | 0.5579 |
| 0.8949 | 2.0 | 2000 | 0.8666 | 0.5704 |
| 0.7922 | 2.5 | 2500 | 0.7379 | 0.6738 |
| 0.748 | 3.0 | 3000 | 0.7218 | 0.6833 |
| 0.7604 | 3.5 | 3500 | 0.7853 | 0.6645 |
| 0.7704 | 4.0 | 4000 | 0.7281 | 0.6867 |
| 0.7562 | 4.5 | 4500 | 0.7265 | 0.6904 |
| 0.7195 | 5.0 | 5000 | 0.7202 | 0.6921 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3