| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: BiBert-linear | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # BiBert-linear | |
| This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/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 | |