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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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base_model: rifkat/uztext-3Gb-BPE-Roberta |
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model-index: |
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- name: uzroberta-sentiment-analysis |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# uzroberta-sentiment-analysis |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0473 |
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- Accuracy: 0.8257 |
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- F1: 0.8287 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.3411 | 1.0 | 1156 | 0.4061 | 0.8276 | 0.8303 | |
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| 0.2319 | 2.0 | 2312 | 0.4074 | 0.8336 | 0.8359 | |
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| 0.1629 | 3.0 | 3468 | 0.5250 | 0.8394 | 0.8416 | |
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| 0.1082 | 4.0 | 4624 | 0.8780 | 0.8180 | 0.8219 | |
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| 0.0712 | 5.0 | 5780 | 0.9741 | 0.8321 | 0.8349 | |
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| 0.0537 | 6.0 | 6936 | 1.0473 | 0.8257 | 0.8287 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.12.1 |
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