metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BiBert-linear
results: []
BiBert-linear
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6285
- Accuracy: 0.7404
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6757 | 1.0 | 9718 | 0.6816 | 0.7254 |
| 0.6012 | 2.0 | 19436 | 0.6529 | 0.7394 |
| 0.5055 | 3.0 | 29154 | 0.6711 | 0.7389 |
| 0.442 | 4.0 | 38872 | 0.6749 | 0.7385 |
| 0.3868 | 5.0 | 48590 | 0.6893 | 0.7330 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1