metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BERT_AA_IMDB_Top100_WithoutOOC_MultilingualBertBase
results: []
BERT_AA_IMDB_Top100_WithoutOOC_MultilingualBertBase
This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9456
- Accuracy: 0.7818
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: 12
- eval_batch_size: 12
- 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 |
|---|---|---|---|---|
| 1.7226 | 1.0 | 2884 | 1.4213 | 0.6833 |
| 1.0842 | 2.0 | 5768 | 1.0640 | 0.754 |
| 0.682 | 3.0 | 8652 | 0.9793 | 0.7714 |
| 0.4733 | 4.0 | 11536 | 0.9500 | 0.7810 |
| 0.3064 | 5.0 | 14420 | 0.9456 | 0.7818 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2