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deberta_textclassification

Text Classification
Transformers
TensorBoard
Safetensors
deberta
Generated from Trainer
Model card Files
xet
Metrics Community
duynhatran commited on
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End of training

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  1. README.md +15 -13
  2. runs/Sep23_16-29-48_a16eb3d641a3/events.out.tfevents.1727109707.a16eb3d641a3.49815.0 +2 -2
  3. tokenizer.json +0 -0
  4. vocab.json +0 -0
README.md CHANGED
@@ -1,11 +1,12 @@
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  ---
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  library_name: transformers
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  license: mit
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- base_model: microsoft/deberta-v3-base
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  model-index:
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  - name: deberta_textclassification
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  results: []
@@ -16,10 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # deberta_textclassification
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- This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4593
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- - Accuracy: 0.9130
 
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  ## Model description
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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 | 427 | 0.2632 | 0.8933 |
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- | 0.3689 | 2.0 | 854 | 0.2377 | 0.9196 |
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- | 0.2019 | 3.0 | 1281 | 0.2978 | 0.9117 |
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- | 0.1298 | 4.0 | 1708 | 0.4182 | 0.9144 |
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- | 0.076 | 5.0 | 2135 | 0.4593 | 0.9130 |
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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- - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  ---
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  library_name: transformers
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  license: mit
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+ base_model: microsoft/deberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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+ - f1
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  model-index:
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  - name: deberta_textclassification
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  results: []
 
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  # deberta_textclassification
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+ This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5291
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+ - Accuracy: 0.9043
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+ - F1: 0.9320
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.4082 | 1.0 | 760 | 0.3256 | 0.8720 | 0.9050 |
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+ | 0.2193 | 2.0 | 1520 | 0.2805 | 0.8967 | 0.9259 |
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+ | 0.1571 | 3.0 | 2280 | 0.3280 | 0.9089 | 0.9357 |
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+ | 0.0947 | 4.0 | 3040 | 0.4283 | 0.9112 | 0.9368 |
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+ | 0.0489 | 5.0 | 3800 | 0.5291 | 0.9043 | 0.9320 |
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.4.0
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  - Tokenizers 0.19.1
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tokenizer.json CHANGED
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vocab.json CHANGED
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