metadata
base_model: lupobricco/irony_classification_single_label_base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ironita_finetuned_singlelabel_no_correlations
results: []
ironita_finetuned_singlelabel_no_correlations
This model is a fine-tuned version of lupobricco/irony_classification_single_label_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0734
- Accuracy: 0.8162
- F1: 0.4358
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 |
|---|---|---|---|---|---|
| 0.4699 | 1.0 | 715 | 0.6672 | 0.8316 | 0.4141 |
| 0.2082 | 2.0 | 1430 | 1.0734 | 0.8162 | 0.4358 |
| 0.0699 | 3.0 | 2145 | 1.2288 | 0.8179 | 0.4059 |
| 0.0356 | 4.0 | 2860 | 1.2345 | 0.8213 | 0.4194 |
| 0.0245 | 5.0 | 3575 | 1.3995 | 0.8265 | 0.4007 |
| 0.0137 | 6.0 | 4290 | 1.4029 | 0.8230 | 0.4222 |
| 0.0166 | 7.0 | 5005 | 1.4924 | 0.8213 | 0.4000 |
| 0.0079 | 8.0 | 5720 | 1.5032 | 0.8299 | 0.3961 |
| 0.0126 | 9.0 | 6435 | 1.5878 | 0.8213 | 0.4285 |
| 0.0046 | 10.0 | 7150 | 1.5537 | 0.8213 | 0.4050 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1