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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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datasets: |
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- tamilmixsentiment |
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metrics: |
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- accuracy |
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model_index: |
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- name: tamil-sentiment-distilbert |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: tamilmixsentiment |
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type: tamilmixsentiment |
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args: default |
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metric: |
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name: Accuracy |
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type: accuracy |
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value: 0.665 |
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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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# tamil-sentiment-distilbert |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the tamilmixsentiment dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0230 |
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- Accuracy: 0.665 |
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## Dataset Information |
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- text: Tamil-English code-mixed comment. |
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- label: list of the possible sentiments |
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- LABEL_0: "Positive", |
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- LABEL_1: "Negative", |
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- LABEL_2: "Mixed_feelings", |
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- LABEL_3: "unknown_state", |
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- LABEL_4: "not-Tamil" |
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## Intended uses & limitations |
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This model was just created for doing classification task on tamilmixsentiment dataset |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 0 |
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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: 3.0 |
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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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| 1.0442 | 1.0 | 250 | 0.9883 | 0.674 | |
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| 0.9227 | 2.0 | 500 | 0.9782 | 0.673 | |
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| 0.7591 | 3.0 | 750 | 1.0230 | 0.665 | |
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### Framework versions |
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- Transformers 4.9.2 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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