metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
base_model: distilbert-base-uncased-finetuned-sst-2-english
model-index:
- name: semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english
results: []
semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5298
- F1: 0.4120
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 22 | 3.4120 | 0.3965 |
| No log | 2.0 | 44 | 3.4436 | 0.3834 |
| No log | 3.0 | 66 | 3.5298 | 0.4120 |
| No log | 4.0 | 88 | 3.5558 | 0.4018 |
| No log | 5.0 | 110 | 3.6086 | 0.4002 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2