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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student |
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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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model-index: |
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- name: text_twitter_test |
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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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# text_twitter_test |
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This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1495 |
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- Accuracy: 0.7577 |
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- F1: 0.7578 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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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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| No log | 1.0 | 487 | 0.6929 | 0.7094 | 0.7080 | |
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| 0.8492 | 2.0 | 974 | 0.7332 | 0.7515 | 0.7492 | |
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| 0.5179 | 3.0 | 1461 | 0.8603 | 0.7444 | 0.7428 | |
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| 0.3549 | 4.0 | 1948 | 1.1495 | 0.7577 | 0.7578 | |
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| 0.2481 | 5.0 | 2435 | 1.2338 | 0.7556 | 0.7552 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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