End of training

README.md

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+---
+license: cc-by-4.0
+base_model: qanastek/XLMRoberta-Alexa-Intents-Classification
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: intent_classification_model
+  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. -->
+
+# intent_classification_model
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.3184
+- Accuracy: 0.9409
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1893        | 4.0   | 712  | 1.0851          | 0.6870   |
+| 0.6443        | 8.0   | 1424 | 0.6027          | 0.8489   |
+| 0.294         | 12.0  | 2136 | 0.3864          | 0.9179   |
+| 0.2081        | 16.0  | 2848 | 0.3309          | 0.9369   |
+| 0.1274        | 20.0  | 3560 | 0.3184          | 0.9409   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1