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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: distilbert-base-uncased-distilled-clinc1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-uncased-distilled-clinc1
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1812
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- Accuracy: 0.9481
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 8.660546177438939e-05
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- train_batch_size: 192
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- eval_batch_size: 48
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6899659744978047e-08
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- lr_scheduler_type: linear
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- num_epochs: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 80 | 1.6569 | 0.8194 |
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| No log | 2.0 | 160 | 0.5149 | 0.9213 |
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| No log | 3.0 | 240 | 0.2568 | 0.9390 |
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| 1.0457 | 4.0 | 320 | 0.2040 | 0.9455 |
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| 1.0457 | 5.0 | 400 | 0.1861 | 0.9452 |
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| 1.0457 | 6.0 | 480 | 0.1812 | 0.9481 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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