Training completed

README.md

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+---
+base_model: transformersbook/bert-base-uncased-finetuned-clinc
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Distilbert-finetuned-w-teacher
+  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-finetuned-w-teacher
+
+This model is a fine-tuned version of [transformersbook/bert-base-uncased-finetuned-clinc](https://huggingface.co/transformersbook/bert-base-uncased-finetuned-clinc) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0063
+- Accuracy: 0.9503
+
+## 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: 48
+- eval_batch_size: 48
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 318  | 0.0101          | 0.9448   |
+| 0.0266        | 2.0   | 636  | 0.0086          | 0.9465   |
+| 0.0266        | 3.0   | 954  | 0.0077          | 0.9487   |
+| 0.0212        | 4.0   | 1272 | 0.0073          | 0.9481   |
+| 0.0187        | 5.0   | 1590 | 0.0067          | 0.9484   |
+| 0.0187        | 6.0   | 1908 | 0.0066          | 0.9484   |
+| 0.0175        | 7.0   | 2226 | 0.0066          | 0.95     |
+| 0.0165        | 8.0   | 2544 | 0.0063          | 0.9503   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.15.2

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