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update model card README.md

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+ ---
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+ license: apache-2.0
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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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+ metrics:
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+ - accuracy
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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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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: clinc_oos
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+ type: clinc_oos
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+ config: plus
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+ split: train
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+ args: plus
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9487096774193549
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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: 0.3462
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+ - Accuracy: 0.9487
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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: 10
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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 | 318 | 2.4449 | 0.7529 |
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+ | 2.8785 | 2.0 | 636 | 1.2330 | 0.8561 |
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+ | 2.8785 | 3.0 | 954 | 0.6774 | 0.9132 |
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+ | 1.0817 | 4.0 | 1272 | 0.4716 | 0.9335 |
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+ | 0.454 | 5.0 | 1590 | 0.4020 | 0.9442 |
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+ | 0.454 | 6.0 | 1908 | 0.3749 | 0.9439 |
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+ | 0.294 | 7.0 | 2226 | 0.3593 | 0.9481 |
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+ | 0.2429 | 8.0 | 2544 | 0.3514 | 0.9474 |
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+ | 0.2429 | 9.0 | 2862 | 0.3486 | 0.9481 |
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+ | 0.2258 | 10.0 | 3180 | 0.3462 | 0.9487 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.25.1
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+ - Pytorch 1.13.1
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+ - Datasets 2.8.0
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+ - Tokenizers 0.13.2