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Training complete

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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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+ datasets:
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+ - clinc_oos
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+ model-index:
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+ - name: distilbert-base-uncased-distilled-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-distilled-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 the clinc_oos dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2366
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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: 48
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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=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 9
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 318 | 1.3258 |
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+ | 1.6434 | 2.0 | 636 | 0.6673 |
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+ | 1.6434 | 3.0 | 954 | 0.3963 |
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+ | 0.6154 | 4.0 | 1272 | 0.2982 |
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+ | 0.3057 | 5.0 | 1590 | 0.2632 |
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+ | 0.3057 | 6.0 | 1908 | 0.2488 |
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+ | 0.231 | 7.0 | 2226 | 0.2425 |
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+ | 0.2073 | 8.0 | 2544 | 0.2382 |
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+ | 0.2073 | 9.0 | 2862 | 0.2366 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.0
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+ - Datasets 1.11.0
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+ - Tokenizers 0.15.1
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