End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- banking77
+metrics:
+- f1
+model-index:
+- name: bert-base-banking77-pt2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: banking77
+      type: banking77
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9278593521222447
+---
+
+<!-- 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. -->
+
+# bert-base-banking77-pt2
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3038
+- F1: 0.9279
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0233        | 1.0   | 626  | 0.7610          | 0.8462 |
+| 0.365         | 2.0   | 1252 | 0.3689          | 0.9149 |
+| 0.1685        | 3.0   | 1878 | 0.3038          | 0.9279 |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.9.0
+- Tokenizers 0.13.3

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special_tokens_map.json

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tokenizer_config.json

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+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
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+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}