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--- |
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license: cc-by-4.0 |
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base_model: qanastek/XLMRoberta-Alexa-Intents-Classification |
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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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model-index: |
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- name: intent_classification_model |
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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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# intent_classification_model |
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This model is a fine-tuned version of [qanastek/XLMRoberta-Alexa-Intents-Classification](https://huggingface.co/qanastek/XLMRoberta-Alexa-Intents-Classification) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3184 |
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- Accuracy: 0.9409 |
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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: 128 |
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- eval_batch_size: 128 |
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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: 20 |
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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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| 1.1893 | 4.0 | 712 | 1.0851 | 0.6870 | |
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| 0.6443 | 8.0 | 1424 | 0.6027 | 0.8489 | |
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| 0.294 | 12.0 | 2136 | 0.3864 | 0.9179 | |
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| 0.2081 | 16.0 | 2848 | 0.3309 | 0.9369 | |
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| 0.1274 | 20.0 | 3560 | 0.3184 | 0.9409 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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