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cotysong113
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distilbert-base-uncased-distilled-clinc

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
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Training complete

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  1. README.md +16 -16
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.7144
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- - Accuracy: 0.9458
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  ## Model description
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@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 6.0788 | 1.0 | 318 | 4.2118 | 0.7068 |
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- | 3.1783 | 2.0 | 636 | 1.9113 | 0.8548 |
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- | 1.5075 | 3.0 | 954 | 1.0655 | 0.9087 |
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- | 0.8843 | 4.0 | 1272 | 0.8456 | 0.9332 |
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- | 0.6849 | 5.0 | 1590 | 0.7832 | 0.9381 |
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- | 0.606 | 6.0 | 1908 | 0.7561 | 0.9426 |
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- | 0.5681 | 7.0 | 2226 | 0.7347 | 0.9452 |
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- | 0.5453 | 8.0 | 2544 | 0.7227 | 0.9439 |
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- | 0.5339 | 9.0 | 2862 | 0.7156 | 0.9452 |
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- | 0.527 | 10.0 | 3180 | 0.7144 | 0.9458 |
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  ### Framework versions
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- - Transformers 4.46.0
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- - Pytorch 2.5.0
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- - Datasets 3.0.2
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- - Tokenizers 0.20.1
 
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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: 0.3223
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+ - Accuracy: 0.9461
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.8424 | 1.0 | 318 | 2.0795 | 0.7271 |
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+ | 1.6103 | 2.0 | 636 | 1.0650 | 0.8577 |
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+ | 0.8466 | 3.0 | 954 | 0.6074 | 0.9135 |
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+ | 0.4999 | 4.0 | 1272 | 0.4376 | 0.9310 |
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+ | 0.3539 | 5.0 | 1590 | 0.3770 | 0.9397 |
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+ | 0.2899 | 6.0 | 1908 | 0.3515 | 0.9419 |
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+ | 0.2589 | 7.0 | 2226 | 0.3353 | 0.9448 |
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+ | 0.2418 | 8.0 | 2544 | 0.3276 | 0.9458 |
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+ | 0.2319 | 9.0 | 2862 | 0.3234 | 0.9458 |
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+ | 0.2284 | 10.0 | 3180 | 0.3223 | 0.9461 |
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  ### Framework versions
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0