metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DistilBERT_trainer_irony
results: []
DistilBERT_trainer_irony
This model is a fine-tuned version of distilbert-base-uncased on the irony dataset. It achieves the following results on the evaluation set:
- Loss: 1.7540
- Accuracy: 0.6964
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 179 | 1.2815 | 0.6827 |
| No log | 2.0 | 358 | 1.4685 | 0.7047 |
| 0.092 | 3.0 | 537 | 1.6756 | 0.6754 |
| 0.092 | 4.0 | 716 | 1.8278 | 0.6712 |
| 0.092 | 5.0 | 895 | 1.8939 | 0.6723 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2