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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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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: distilbert-base-uncased-distilled-optim-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: validation
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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: 0.9448387096774193
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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-optim-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: 0.3314
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+ - Accuracy: 0.9448
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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 | 2.1746 | 0.7242 |
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+ | 2.5724 | 2.0 | 636 | 1.1166 | 0.8623 |
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+ | 2.5724 | 3.0 | 954 | 0.6319 | 0.9155 |
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+ | 0.9951 | 4.0 | 1272 | 0.4582 | 0.9306 |
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+ | 0.4397 | 5.0 | 1590 | 0.3865 | 0.9394 |
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+ | 0.4397 | 6.0 | 1908 | 0.3583 | 0.9419 |
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+ | 0.2978 | 7.0 | 2226 | 0.3445 | 0.9429 |
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+ | 0.251 | 8.0 | 2544 | 0.3394 | 0.9426 |
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+ | 0.251 | 9.0 | 2862 | 0.3334 | 0.9445 |
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+ | 0.233 | 10.0 | 3180 | 0.3314 | 0.9448 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.1+cu118
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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