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rkrstacic
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bpmn-task-extractor

Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
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xet
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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5015
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- - Precision: 0.625
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- - Recall: 0.5
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- - F1: 0.5556
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- - Accuracy: 0.8202
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  ## Model description
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@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 1 | 1.6651 | 0.0 | 0.0 | 0.0 | 0.2584 |
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- | No log | 2.0 | 2 | 1.1847 | 0.1818 | 0.1 | 0.1290 | 0.6517 |
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- | No log | 3.0 | 3 | 0.9826 | 0.5556 | 0.25 | 0.3448 | 0.6966 |
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- | No log | 4.0 | 4 | 0.8535 | 0.5556 | 0.25 | 0.3448 | 0.6966 |
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- | No log | 5.0 | 5 | 0.7485 | 0.7 | 0.35 | 0.4667 | 0.7303 |
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- | No log | 6.0 | 6 | 0.6552 | 0.5833 | 0.35 | 0.4375 | 0.7528 |
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- | No log | 7.0 | 7 | 0.5839 | 0.5 | 0.35 | 0.4118 | 0.7753 |
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- | No log | 8.0 | 8 | 0.5431 | 0.6429 | 0.45 | 0.5294 | 0.7978 |
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- | No log | 9.0 | 9 | 0.5158 | 0.625 | 0.5 | 0.5556 | 0.8202 |
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- | No log | 10.0 | 10 | 0.5015 | 0.625 | 0.5 | 0.5556 | 0.8202 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0970
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+ - Precision: 0.95
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+ - Recall: 0.95
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+ - F1: 0.9500
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+ - Accuracy: 0.9888
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 1 | 1.0813 | 0.3077 | 0.2 | 0.2424 | 0.6404 |
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+ | No log | 2.0 | 2 | 0.7296 | 0.4783 | 0.55 | 0.5116 | 0.7191 |
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+ | No log | 3.0 | 3 | 0.5097 | 0.6111 | 0.55 | 0.5789 | 0.8090 |
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+ | No log | 4.0 | 4 | 0.3683 | 0.7059 | 0.6 | 0.6486 | 0.8652 |
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+ | No log | 5.0 | 5 | 0.2926 | 0.75 | 0.6 | 0.6667 | 0.8539 |
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+ | No log | 6.0 | 6 | 0.2268 | 0.7647 | 0.65 | 0.7027 | 0.8764 |
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+ | No log | 7.0 | 7 | 0.1699 | 0.7778 | 0.7 | 0.7368 | 0.9101 |
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+ | No log | 8.0 | 8 | 0.1273 | 0.8 | 0.8 | 0.8000 | 0.9438 |
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+ | No log | 9.0 | 9 | 0.1061 | 0.95 | 0.95 | 0.9500 | 0.9888 |
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+ | No log | 10.0 | 10 | 0.0970 | 0.95 | 0.95 | 0.9500 | 0.9888 |
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  ### Framework versions