metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-osdg
results: []
distilbert-base-uncased-finetuned-osdg
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: 0.5699
- Acc: 0.8533
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: 6e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| 0.8138 | 1.0 | 509 | 0.7623 | 0.8157 |
| 0.6972 | 2.0 | 1018 | 0.6599 | 0.8312 |
| 0.5908 | 3.0 | 1527 | 0.6084 | 0.8428 |
| 0.5674 | 4.0 | 2036 | 0.5922 | 0.8467 |
| 0.5176 | 5.0 | 2545 | 0.5807 | 0.8533 |
| 0.4818 | 6.0 | 3054 | 0.5695 | 0.8556 |
| 0.4631 | 7.0 | 3563 | 0.5699 | 0.8533 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1