|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distilbert-qa-checkpoint-v5 |
|
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-qa-checkpoint-v5 |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4904 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.3912 | 1.0 | 2059 | 0.3897 | |
|
| 0.3313 | 2.0 | 4118 | 0.3449 | |
|
| 0.2679 | 3.0 | 6177 | 0.3508 | |
|
| 0.2323 | 4.0 | 8236 | 0.3489 | |
|
| 0.2047 | 5.0 | 10295 | 0.3578 | |
|
| 0.1913 | 6.0 | 12354 | 0.4529 | |
|
| 0.1821 | 7.0 | 14413 | 0.4904 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.2 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |
|
|
