training is complete

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-distilled-finetuned-clinc
+  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-uncased-distilled-finetuned-clinc
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2950
+- Accuracy: 0.9439
+
+## 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: 9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 318  | 3.1681          | 0.7361   |
+| 3.6771        | 2.0   | 636  | 1.6131          | 0.8616   |
+| 3.6771        | 3.0   | 954  | 0.8311          | 0.9103   |
+| 1.3903        | 4.0   | 1272 | 0.5136          | 0.93     |
+| 0.4916        | 5.0   | 1590 | 0.3818          | 0.9365   |
+| 0.4916        | 6.0   | 1908 | 0.3381          | 0.9365   |
+| 0.2278        | 7.0   | 2226 | 0.3054          | 0.9410   |
+| 0.1444        | 8.0   | 2544 | 0.2982          | 0.9435   |
+| 0.1444        | 9.0   | 2862 | 0.2950          | 0.9439   |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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