End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Symptoms_to_Diagnosis_SonatafyAI_BERT_v1
+  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. -->
+
+# Symptoms_to_Diagnosis_SonatafyAI_BERT_v1
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6203
+- Accuracy: 0.9198
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 54   | 2.7261          | 0.2123   |
+| No log        | 2.0   | 108  | 2.2144          | 0.5283   |
+| No log        | 3.0   | 162  | 1.7385          | 0.6698   |
+| No log        | 4.0   | 216  | 1.3686          | 0.7925   |
+| No log        | 5.0   | 270  | 1.1194          | 0.8302   |
+| No log        | 6.0   | 324  | 0.9123          | 0.8632   |
+| No log        | 7.0   | 378  | 0.7822          | 0.9009   |
+| No log        | 8.0   | 432  | 0.6871          | 0.9009   |
+| No log        | 9.0   | 486  | 0.6415          | 0.9104   |
+| 1.4504        | 10.0  | 540  | 0.6203          | 0.9198   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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