End of training
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README.md
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: bert_seq_training_model
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results: []
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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.
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- Accuracy: 0.
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- F1: 0.3548
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 8 |
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| No log | 2.0 | 16 | 0.
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### Framework versions
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert_seq_training_model
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results: []
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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: 0.8982
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- Accuracy: 0.3871
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 8 | 0.9433 | 0.3548 |
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| No log | 2.0 | 16 | 0.8982 | 0.3871 |
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### Framework versions
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