metadata
license: mit
base_model: nlptown/bert-base-multilingual-uncased-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_IMDB_bert_base
results: []
model_IMDB_bert_base
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7390
- Accuracy: 0.9287
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| 0.4201 | 1.0 | 6250 | 0.4285 | 0.8902 |
| 0.3454 | 2.0 | 12500 | 0.3388 | 0.9183 |
| 0.2279 | 3.0 | 18750 | 0.3715 | 0.9253 |
| 0.1558 | 4.0 | 25000 | 0.4496 | 0.9244 |
| 0.1047 | 5.0 | 31250 | 0.5458 | 0.9235 |
| 0.0594 | 6.0 | 37500 | 0.6027 | 0.9199 |
| 0.0234 | 7.0 | 43750 | 0.5551 | 0.9254 |
| 0.0281 | 8.0 | 50000 | 0.6457 | 0.9245 |
| 0.0015 | 9.0 | 56250 | 0.7199 | 0.9279 |
| 0.0 | 10.0 | 62500 | 0.7390 | 0.9287 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.14.0