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Parent(s): 03afa1d
trainer: training complete at 2023-11-13 16:49:31.030061.
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README.md
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base_model: distilbert-base-uncased
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tags:
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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-ner-essays-classify_span
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6951
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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 | 267 | 0.7245 | 0.6650
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| 0.7275 | 2.0 | 534 | 0.6951 | 0.7077
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### Framework versions
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-ner-essays-classify_span
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6951
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- Ajorclaim: {'precision': 0.5098039215686274, 'recall': 0.4, 'f1': 0.4482758620689655, 'number': 65}
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- Laim: {'precision': 0.29545454545454547, 'recall': 0.23008849557522124, 'f1': 0.2587064676616916, 'number': 113}
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- Remise: {'precision': 0.23140495867768596, 'recall': 0.20588235294117646, 'f1': 0.2178988326848249, 'number': 136}
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- Overall Precision: 0.3077
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- Overall Recall: 0.2548
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- Overall F1: 0.2787
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- Overall Accuracy: 0.7077
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Ajorclaim | Laim | Remise | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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| No log | 1.0 | 267 | 0.7245 | {'precision': 0.5, 'recall': 0.2153846153846154, 'f1': 0.3010752688172043, 'number': 65} | {'precision': 0.1794871794871795, 'recall': 0.061946902654867256, 'f1': 0.09210526315789473, 'number': 113} | {'precision': 0.15625, 'recall': 0.07352941176470588, 'f1': 0.1, 'number': 136} | 0.2366 | 0.0987 | 0.1393 | 0.6650 |
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| 0.7275 | 2.0 | 534 | 0.6951 | {'precision': 0.5098039215686274, 'recall': 0.4, 'f1': 0.4482758620689655, 'number': 65} | {'precision': 0.29545454545454547, 'recall': 0.23008849557522124, 'f1': 0.2587064676616916, 'number': 113} | {'precision': 0.23140495867768596, 'recall': 0.20588235294117646, 'f1': 0.2178988326848249, 'number': 136} | 0.3077 | 0.2548 | 0.2787 | 0.7077 |
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### Framework versions
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