|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distilbert-base-cased-distilled-squad-coffee20230108 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# distilbert-base-cased-distilled-squad-coffee20230108 |
|
|
|
This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/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 |
|
|
