metadata
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: relation_classification_single_label_correlations
results: []
relation_classification_single_label_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: 0.8244
- Accuracy: 0.7209
- F1: 0.7003
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: 8
- eval_batch_size: 8
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 121 | 0.7878 | 0.6279 | 0.6332 |
| No log | 2.0 | 242 | 0.8169 | 0.6822 | 0.6664 |
| No log | 3.0 | 363 | 0.8244 | 0.7209 | 0.7003 |
| No log | 4.0 | 484 | 0.9999 | 0.6977 | 0.6898 |
| 0.5583 | 5.0 | 605 | 1.2330 | 0.6744 | 0.6372 |
| 0.5583 | 6.0 | 726 | 1.4526 | 0.6434 | 0.5751 |
| 0.5583 | 7.0 | 847 | 1.5028 | 0.6434 | 0.5853 |
| 0.5583 | 8.0 | 968 | 1.6308 | 0.6512 | 0.6008 |
| 0.1534 | 9.0 | 1089 | 1.7342 | 0.6434 | 0.5817 |
| 0.1534 | 10.0 | 1210 | 1.7693 | 0.6512 | 0.5468 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1