End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- banking77
+metrics:
+- accuracy
+model-index:
+- name: banking-intent-distilbert-classifier
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: banking77
+      type: banking77
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.925
+---
+
+<!-- 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. -->
+
+# banking-intent-distilbert-classifier
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the banking77 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3307
+- Accuracy: 0.925
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0124        | 1.0   | 313  | 0.3307          | 0.925    |
+| 0.0102        | 2.0   | 626  | 0.3331          | 0.9289   |
+| 0.0077        | 3.0   | 939  | 0.3381          | 0.9282   |
+| 0.0062        | 4.0   | 1252 | 0.3406          | 0.9276   |
+| 0.0059        | 5.0   | 1565 | 0.3423          | 0.9282   |
+| 0.0045        | 6.0   | 1878 | 0.3445          | 0.9282   |
+| 0.0046        | 7.0   | 2191 | 0.3458          | 0.9286   |
+| 0.0041        | 8.0   | 2504 | 0.3470          | 0.9286   |
+| 0.0038        | 9.0   | 2817 | 0.3472          | 0.9286   |
+| 0.0034        | 10.0  | 3130 | 0.3475          | 0.9286   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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