|
--- |
|
license: apache-2.0 |
|
base_model: bert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- squad |
|
model-index: |
|
- name: my_awesome_qa_model |
|
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. --> |
|
|
|
# my_awesome_qa_model |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.5143 |
|
|
|
## 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: 40 |
|
- eval_batch_size: 40 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 100 | 4.7435 | |
|
| No log | 2.0 | 200 | 4.3343 | |
|
| No log | 3.0 | 300 | 4.0804 | |
|
| No log | 4.0 | 400 | 3.8983 | |
|
| 4.3932 | 5.0 | 500 | 3.7642 | |
|
| 4.3932 | 6.0 | 600 | 3.6649 | |
|
| 4.3932 | 7.0 | 700 | 3.5978 | |
|
| 4.3932 | 8.0 | 800 | 3.5499 | |
|
| 4.3932 | 9.0 | 900 | 3.5216 | |
|
| 3.7318 | 10.0 | 1000 | 3.5143 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.1.0 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
