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distilbert-base-uncased-distilled-clinc

Text Classification
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PyTorch
distilbert
generated_from_trainer
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update model card README.md

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  1. README.md +13 -14
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@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9464516129032258
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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
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2578
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- - Accuracy: 0.9465
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  ## Model description
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@@ -55,22 +55,21 @@ The following hyperparameters were used during training:
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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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  ### 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 | 318 | 1.5141 | 0.7345 |
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- | 1.8478 | 2.0 | 636 | 0.7612 | 0.8674 |
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- | 1.8478 | 3.0 | 954 | 0.4478 | 0.9119 |
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- | 0.6924 | 4.0 | 1272 | 0.3302 | 0.9348 |
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- | 0.3336 | 5.0 | 1590 | 0.2920 | 0.9439 |
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- | 0.3336 | 6.0 | 1908 | 0.2750 | 0.9439 |
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- | 0.2454 | 7.0 | 2226 | 0.2653 | 0.9452 |
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- | 0.2171 | 8.0 | 2544 | 0.2615 | 0.9461 |
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- | 0.2171 | 9.0 | 2862 | 0.2596 | 0.9455 |
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- | 0.2079 | 10.0 | 3180 | 0.2578 | 0.9465 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9454838709677419
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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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  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: 0.3120
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+ - Accuracy: 0.9455
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  ## Model description
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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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  ### 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 | 318 | 1.8803 | 0.7426 |
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+ | 2.2488 | 2.0 | 636 | 0.9662 | 0.8626 |
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+ | 2.2488 | 3.0 | 954 | 0.5640 | 0.9103 |
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+ | 0.8679 | 4.0 | 1272 | 0.4093 | 0.9332 |
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+ | 0.4101 | 5.0 | 1590 | 0.3554 | 0.9435 |
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+ | 0.4101 | 6.0 | 1908 | 0.3312 | 0.9445 |
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+ | 0.2894 | 7.0 | 2226 | 0.3179 | 0.9452 |
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+ | 0.2496 | 8.0 | 2544 | 0.3137 | 0.9448 |
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+ | 0.2496 | 9.0 | 2862 | 0.3120 | 0.9455 |
 
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  ### Framework versions