End of training
Browse files- README.md +1 -28
- config.json +0 -1
- logs/events.out.tfevents.1697989140.2be8100f72b4.67384.0 +2 -2
- pytorch_model.bin +1 -1
- tokenizer.json +2 -16
README.md
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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: '11'
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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: 0.9335250777395127
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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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# 11
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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: 0.3184
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- F1: 0.9335
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## Model description
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.1231 | 1.0 | 626 | 0.3498 | 0.9166 |
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| 0.0671 | 2.0 | 1252 | 0.3317 | 0.9285 |
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| 0.0293 | 3.0 | 1878 | 0.3184 | 0.9335 |
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### Framework versions
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- Transformers 4.27.1
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- generated_from_trainer
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datasets:
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- banking77
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model-index:
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- name: '11'
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results: []
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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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# 11
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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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## Model description
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.27.1
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config.json
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.27.1",
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"type_vocab_size": 2,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.27.1",
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"type_vocab_size": 2,
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logs/events.out.tfevents.1697989140.2be8100f72b4.67384.0
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tokenizer.json
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