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: 2.2375
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: 16
- eval_batch_size: 16
- 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 | 2 | 2.6360 |
| No log | 2.0 | 4 | 2.6283 |
| No log | 3.0 | 6 | 2.6177 |
| No log | 4.0 | 8 | 2.5990 |
| No log | 5.0 | 10 | 2.5762 |
| No log | 6.0 | 12 | 2.5464 |
| No log | 7.0 | 14 | 2.5160 |
| No log | 8.0 | 16 | 2.4832 |
| No log | 9.0 | 18 | 2.4497 |
| No log | 10.0 | 20 | 2.4124 |
| No log | 11.0 | 22 | 2.3740 |
| No log | 12.0 | 24 | 2.3414 |
| No log | 13.0 | 26 | 2.3065 |
| No log | 14.0 | 28 | 2.2717 |
| No log | 15.0 | 30 | 2.2375 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2