| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| base_model: distilbert-base-multilingual-cased | |
| model-index: | |
| - name: distilbert-base-multiling-finetuned-emotion-bg | |
| 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. --> | |
| # distilbert-base-multiling-finetuned-emotion-bg | |
| This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5969 | |
| - Accuracy: 0.8229 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 1.1726 | 1.0 | 748 | 0.7208 | 0.7540 | | |
| | 0.5873 | 2.0 | 1496 | 0.5815 | 0.8028 | | |
| | 0.4152 | 3.0 | 2244 | 0.5605 | 0.8148 | | |
| | 0.3036 | 4.0 | 2992 | 0.5905 | 0.8182 | | |
| | 0.2402 | 5.0 | 3740 | 0.5969 | 0.8229 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.2 | |