| --- |
| base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: saya_test_sentiment |
| 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. --> |
|
|
| # saya_test_sentiment |
|
|
| This model is a fine-tuned version of [citizenlab/twitter-xlm-roberta-base-sentiment-finetunned](https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0331 |
| - Accuracy: 0.7103 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.8304 | 1.0 | 1648 | 0.7680 | 0.6720 | |
| | 0.6984 | 2.0 | 3296 | 0.7300 | 0.6951 | |
| | 0.5579 | 3.0 | 4944 | 0.7874 | 0.7094 | |
| | 0.4007 | 4.0 | 6592 | 0.8602 | 0.7024 | |
| | 0.2745 | 5.0 | 8240 | 1.0331 | 0.7103 | |
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|
| ### Framework versions |
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|
| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cpu |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.0 |
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|
