End of training

README.md

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+---
+license: apache-2.0
+base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-cased-finetuned-patient-doctor-text-classifier-eng-multilingual
+  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. -->
+
+# distilbert-base-cased-finetuned-patient-doctor-text-classifier-eng-multilingual
+
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0988
+- Accuracy: 0.9851
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.1049        | 1.0   | 1547  | 0.0713          | 0.9819   |
+| 0.0442        | 2.0   | 3094  | 0.0751          | 0.9833   |
+| 0.0307        | 3.0   | 4641  | 0.0699          | 0.9856   |
+| 0.0231        | 4.0   | 6188  | 0.0889          | 0.9844   |
+| 0.0188        | 5.0   | 7735  | 0.0898          | 0.9852   |
+| 0.0169        | 6.0   | 9282  | 0.0974          | 0.9831   |
+| 0.0138        | 7.0   | 10829 | 0.0954          | 0.9852   |
+| 0.0124        | 8.0   | 12376 | 0.0986          | 0.9845   |
+| 0.0108        | 9.0   | 13923 | 0.0959          | 0.9846   |
+| 0.0095        | 10.0  | 15470 | 0.0988          | 0.9851   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

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