metadata
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: relation_detection_textual
results: []
relation_detection_textual
This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5100
- F1: 0.5655
- Roc Auc: 0.6529
- Accuracy: 0.6047
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: 2e-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 | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 33 | 0.5583 | 0.2409 | 0.5 | 0.5659 |
| No log | 2.0 | 66 | 0.5156 | 0.4076 | 0.5540 | 0.5349 |
| No log | 3.0 | 99 | 0.4998 | 0.4549 | 0.6170 | 0.6357 |
| No log | 4.0 | 132 | 0.5060 | 0.5242 | 0.6401 | 0.6124 |
| No log | 5.0 | 165 | 0.5160 | 0.5164 | 0.6281 | 0.6124 |
| No log | 6.0 | 198 | 0.5163 | 0.5508 | 0.6435 | 0.5736 |
| No log | 7.0 | 231 | 0.5111 | 0.5543 | 0.6469 | 0.5736 |
| No log | 8.0 | 264 | 0.4990 | 0.5556 | 0.6481 | 0.5814 |
| No log | 9.0 | 297 | 0.5100 | 0.5655 | 0.6529 | 0.6047 |
| No log | 10.0 | 330 | 0.5098 | 0.5639 | 0.6503 | 0.6047 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2