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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - banking77
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: test-bert-base-banking77
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: banking77
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+ type: banking77
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.927904494938546
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # test-bert-base-banking77
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3047
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+ - F1: 0.9279
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.1189 | 1.0 | 626 | 0.7946 | 0.8508 |
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+ | 0.3914 | 2.0 | 1252 | 0.3690 | 0.9227 |
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+ | 0.1896 | 3.0 | 1878 | 0.3047 | 0.9279 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.29.2
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.2
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+ - Tokenizers 0.13.2
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tokenizer.json ADDED
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vocab.txt ADDED
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