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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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base_model: distilbert-base-multilingual-cased |
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model-index: |
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- name: distilbert-base-cased-distilled-emotion-bg |
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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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# distilbert-base-cased-distilled-emotion-bg |
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5784 |
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- Accuracy: 0.8061 |
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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: 3e-05 |
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- train_batch_size: 64 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.3346 | 1.0 | 187 | 1.0077 | 0.6036 | |
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| 0.763 | 2.0 | 374 | 0.6359 | 0.7868 | |
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| 0.4931 | 3.0 | 561 | 0.5821 | 0.8008 | |
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| 0.3635 | 4.0 | 748 | 0.5784 | 0.8061 | |
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| 0.2724 | 5.0 | 935 | 0.5829 | 0.8189 | |
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| 0.2116 | 6.0 | 1122 | 0.5872 | 0.8168 | |
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| 0.1684 | 7.0 | 1309 | 0.6480 | 0.8148 | |
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| 0.1336 | 8.0 | 1496 | 0.6630 | 0.8122 | |
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| 0.112 | 9.0 | 1683 | 0.6836 | 0.8222 | |
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| 0.0966 | 10.0 | 1870 | 0.6859 | 0.8202 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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