| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: uzroberta-sentiment-analysis | |
| 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. --> | |
| # uzroberta-sentiment-analysis | |
| This model is a fine-tuned version of [rifkat/uztext-3Gb-BPE-Roberta](https://huggingface.co/rifkat/uztext-3Gb-BPE-Roberta) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0473 | |
| - Accuracy: 0.8257 | |
| - F1: 0.8287 | |
| ## 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: 6 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | |
| | 0.3411 | 1.0 | 1156 | 0.4061 | 0.8276 | 0.8303 | | |
| | 0.2319 | 2.0 | 2312 | 0.4074 | 0.8336 | 0.8359 | | |
| | 0.1629 | 3.0 | 3468 | 0.5250 | 0.8394 | 0.8416 | | |
| | 0.1082 | 4.0 | 4624 | 0.8780 | 0.8180 | 0.8219 | | |
| | 0.0712 | 5.0 | 5780 | 0.9741 | 0.8321 | 0.8349 | | |
| | 0.0537 | 6.0 | 6936 | 1.0473 | 0.8257 | 0.8287 | | |
| ### Framework versions | |
| - Transformers 4.27.3 | |
| - Pytorch 2.0.0+cu117 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.12.1 | |