File size: 2,312 Bytes
d755e29 3dfbd4d d755e29 3dfbd4d d755e29 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bpmn-task-extractor
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bpmn-task-extractor
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0970
- Precision: 0.95
- Recall: 0.95
- F1: 0.9500
- Accuracy: 0.9888
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 1 | 1.0813 | 0.3077 | 0.2 | 0.2424 | 0.6404 |
| No log | 2.0 | 2 | 0.7296 | 0.4783 | 0.55 | 0.5116 | 0.7191 |
| No log | 3.0 | 3 | 0.5097 | 0.6111 | 0.55 | 0.5789 | 0.8090 |
| No log | 4.0 | 4 | 0.3683 | 0.7059 | 0.6 | 0.6486 | 0.8652 |
| No log | 5.0 | 5 | 0.2926 | 0.75 | 0.6 | 0.6667 | 0.8539 |
| No log | 6.0 | 6 | 0.2268 | 0.7647 | 0.65 | 0.7027 | 0.8764 |
| No log | 7.0 | 7 | 0.1699 | 0.7778 | 0.7 | 0.7368 | 0.9101 |
| No log | 8.0 | 8 | 0.1273 | 0.8 | 0.8 | 0.8000 | 0.9438 |
| No log | 9.0 | 9 | 0.1061 | 0.95 | 0.95 | 0.9500 | 0.9888 |
| No log | 10.0 | 10 | 0.0970 | 0.95 | 0.95 | 0.9500 | 0.9888 |
### Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
|