Initial release

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- deBERTa
+- sequence-classification
+- generated_from_trainer
+datasets:
+- banking77
+metrics:
+- accuracy
+model-index:
+- name: banking77-deBERTa-v3-base
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: banking77
+      type: banking77
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9225387306346826
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# banking77-deBERTa-v3-base
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the banking77 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3388
+- Accuracy: 0.9225
+- F1 Macro: 0.9207
+- Precision Macro: 0.9261
+- Recall Macro: 0.9193
+- F1 Weighted: 0.9221
+- Precision Weighted: 0.9252
+- Recall Weighted: 0.9225
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | F1 Weighted | Precision Weighted | Recall Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:-----------:|:------------------:|:---------------:|
+| 0.9407        | 1.0   | 501  | 0.8110          | 0.8351   | 0.8093   | 0.8304          | 0.8144       | 0.8263      | 0.8412             | 0.8351          |
+| 0.4485        | 2.0   | 1002 | 0.4066          | 0.9055   | 0.8958   | 0.9069          | 0.8941       | 0.9041      | 0.9093             | 0.9055          |
+| 0.2692        | 3.0   | 1503 | 0.3388          | 0.9225   | 0.9207   | 0.9261          | 0.9193       | 0.9221      | 0.9252             | 0.9225          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

added_tokens.json

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config.json

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+{
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
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