metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-distilled-squad-coffee20230108
results: []
distilbert-base-cased-distilled-squad-coffee20230108
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4291
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 92 | 1.8403 |
| 2.3138 | 2.0 | 184 | 1.7960 |
| 1.5166 | 3.0 | 276 | 1.8769 |
| 0.9893 | 4.0 | 368 | 2.0993 |
| 0.7197 | 5.0 | 460 | 2.5598 |
| 0.4902 | 6.0 | 552 | 2.9495 |
| 0.4027 | 7.0 | 644 | 2.9910 |
| 0.3031 | 8.0 | 736 | 3.4344 |
| 0.1708 | 9.0 | 828 | 3.9058 |
| 0.1239 | 10.0 | 920 | 3.9043 |
| 0.0651 | 11.0 | 1012 | 4.0318 |
| 0.0394 | 12.0 | 1104 | 4.0876 |
| 0.0394 | 13.0 | 1196 | 4.3854 |
| 0.0174 | 14.0 | 1288 | 4.4298 |
| 0.0063 | 15.0 | 1380 | 4.4291 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2