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Training completed!

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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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-finetuned-clinc
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+ results: []
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+ ---
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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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+
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+ # distilbert-base-uncased-finetuned-clinc
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+
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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: nan
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+ - Accuracy: 0.9410
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 192
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+ - eval_batch_size: 192
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 80 | nan | 0.4606 |
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+ | No log | 2.0 | 160 | nan | 0.7219 |
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+ | No log | 3.0 | 240 | nan | 0.8071 |
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+ | No log | 4.0 | 320 | nan | 0.8626 |
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+ | No log | 5.0 | 400 | nan | 0.8858 |
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+ | No log | 6.0 | 480 | nan | 0.9103 |
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+ | 0.0 | 7.0 | 560 | nan | 0.9216 |
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+ | 0.0 | 8.0 | 640 | nan | 0.9268 |
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+ | 0.0 | 9.0 | 720 | nan | 0.9294 |
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+ | 0.0 | 10.0 | 800 | nan | 0.9345 |
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+ | 0.0 | 11.0 | 880 | nan | 0.9345 |
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+ | 0.0 | 12.0 | 960 | nan | 0.9387 |
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+ | 0.0 | 13.0 | 1040 | nan | 0.9390 |
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+ | 0.0 | 14.0 | 1120 | nan | 0.9403 |
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+ | 0.0 | 15.0 | 1200 | nan | 0.9419 |
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+ | 0.0 | 16.0 | 1280 | nan | 0.9406 |
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+ | 0.0 | 17.0 | 1360 | nan | 0.94 |
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+ | 0.0 | 18.0 | 1440 | nan | 0.9403 |
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+ | 0.0 | 19.0 | 1520 | nan | 0.9413 |
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+ | 0.0 | 20.0 | 1600 | nan | 0.9410 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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