metadata
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: relation_classification_correlations
results: []
relation_classification_correlations
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: 0.4935
- F1: 0.6391
- Roc Auc: 0.6959
- Accuracy: 0.5426
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 | 0.5801 | 0.2301 | 0.5 | 0.5271 |
| No log | 2.0 | 66 | 0.5229 | 0.4619 | 0.6167 | 0.5969 |
| No log | 3.0 | 99 | 0.5122 | 0.4834 | 0.6295 | 0.6202 |
| No log | 4.0 | 132 | 0.5035 | 0.5805 | 0.6626 | 0.5814 |
| No log | 5.0 | 165 | 0.5133 | 0.5608 | 0.6503 | 0.5736 |
| No log | 6.0 | 198 | 0.4935 | 0.6391 | 0.6959 | 0.5426 |
| No log | 7.0 | 231 | 0.5092 | 0.6170 | 0.6784 | 0.5504 |
| No log | 8.0 | 264 | 0.5135 | 0.6194 | 0.6780 | 0.5814 |
| No log | 9.0 | 297 | 0.5189 | 0.6159 | 0.6790 | 0.5426 |
| No log | 10.0 | 330 | 0.5217 | 0.6066 | 0.6693 | 0.5659 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1