metadata
library_name: transformers
base_model: Musixmatch/umberto-wikipedia-uncased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: umberto-wikipedia-uncased-v1-finetuned-emotions
results: []
umberto-wikipedia-uncased-v1-finetuned-emotions
This model is a fine-tuned version of Musixmatch/umberto-wikipedia-uncased-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7553
- Accuracy: 0.5644
- F1: 0.5295
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 29 | 1.7744 | 0.1994 | 0.1058 |
| No log | 2.0 | 58 | 1.7553 | 0.5644 | 0.5295 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1