metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: arg-quality
results: []
arg-quality
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7867
- Accuracy: 0.1867
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: 16
- 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 |
|---|---|---|---|---|
| 3.732 | 1.0 | 1512 | 3.7987 | 0.1886 |
| 3.6107 | 2.0 | 3024 | 3.7857 | 0.1886 |
| 3.6259 | 3.0 | 4536 | 3.7956 | 0.1886 |
| 3.6123 | 4.0 | 6048 | 3.7843 | 0.1878 |
| 3.6523 | 5.0 | 7560 | 3.7867 | 0.1867 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1