End of training
Browse files- README.md +8 -23
- logs/events.out.tfevents.1704570771.papipc.44222.0 +2 -2
- tokenizer.json +16 -2
README.md
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base_model: bert-base-uncased
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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: bert-base-banking77-pt2
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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: 0.9272318357899242
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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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# bert-base-banking77-pt2
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.
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- Tokenizers 0.15.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: bert-base-banking77-pt2
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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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# bert-base-banking77-pt2
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2916
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- F1: 0.9345
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.0556 | 1.0 | 626 | 0.7653 | 0.8454 |
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| 0.363 | 2.0 | 1252 | 0.3548 | 0.9230 |
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| 0.1815 | 3.0 | 1878 | 0.2916 | 0.9345 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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logs/events.out.tfevents.1704570771.papipc.44222.0
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size
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size 12400
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tokenizer.json
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"version": "1.0",
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