metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-DouRC_squad
results: []
distilbert-base-uncased-finetuned-DouRC_squad
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3446
- Exact Match: 0.595
- F1: 0.4606
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: 56
- eval_batch_size: 56
- 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 | Exact Match | F1 |
|---|---|---|---|---|---|
| 2.4681 | 1.0 | 536 | 1.6016 | 0.565 | 0.4282 |
| 1.6197 | 2.0 | 1072 | 1.3800 | 0.57 | 0.4348 |
| 1.3323 | 3.0 | 1608 | 1.3422 | 0.595 | 0.4619 |
| 1.1524 | 4.0 | 2144 | 1.3187 | 0.61 | 0.4775 |
| 1.0458 | 5.0 | 2680 | 1.3446 | 0.595 | 0.4606 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1