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distilbert-base-uncased-distilled-clinc

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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  1. README.md +17 -16
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3610
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- - Accuracy: 0.9452
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  ## Model description
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@@ -43,26 +43,27 @@ 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: 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 | 2.4828 | 0.7345 |
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- | 2.917 | 2.0 | 636 | 1.2861 | 0.8648 |
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- | 2.917 | 3.0 | 954 | 0.7144 | 0.9090 |
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- | 1.1358 | 4.0 | 1272 | 0.4976 | 0.9310 |
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- | 0.4849 | 5.0 | 1590 | 0.4140 | 0.9403 |
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- | 0.4849 | 6.0 | 1908 | 0.3878 | 0.9435 |
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- | 0.3135 | 7.0 | 2226 | 0.3687 | 0.9439 |
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- | 0.2607 | 8.0 | 2544 | 0.3628 | 0.9465 |
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- | 0.2607 | 9.0 | 2862 | 0.3610 | 0.9452 |
 
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  ### Framework versions
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- - Transformers 4.37.2
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- - Pytorch 2.2.0+cu121
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- - Datasets 2.17.0
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- - Tokenizers 0.15.2
 
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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: 0.3538
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+ - Accuracy: 0.9445
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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: 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 | 2.6372 | 0.7235 |
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+ | 3.0882 | 2.0 | 636 | 1.3409 | 0.8648 |
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+ | 3.0882 | 3.0 | 954 | 0.7276 | 0.91 |
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+ | 1.1765 | 4.0 | 1272 | 0.4936 | 0.9335 |
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+ | 0.4733 | 5.0 | 1590 | 0.4103 | 0.9387 |
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+ | 0.4733 | 6.0 | 1908 | 0.3827 | 0.9406 |
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+ | 0.2919 | 7.0 | 2226 | 0.3657 | 0.9423 |
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+ | 0.2358 | 8.0 | 2544 | 0.3587 | 0.9442 |
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+ | 0.2358 | 9.0 | 2862 | 0.3555 | 0.9435 |
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+ | 0.2158 | 10.0 | 3180 | 0.3538 | 0.9445 |
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  ### Framework versions
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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