|
--- |
|
license: apache-2.0 |
|
base_model: bert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
- Multiple Choice |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert-base-uncased-e_CARE |
|
results: [] |
|
datasets: |
|
- 12ml/e-CARE |
|
language: |
|
- en |
|
pipeline_tag: question-answering |
|
--- |
|
|
|
# bert-base-uncased-e_CARE |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased). |
|
|
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.7677 |
|
- Accuracy: 0.7212 |
|
|
|
## 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 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.5637 | 1.0 | 1571 | 0.5282 | 0.7244 | |
|
| 0.345 | 2.0 | 3142 | 0.6667 | 0.7320 | |
|
| 0.1098 | 3.0 | 4713 | 1.3113 | 0.7257 | |
|
| 0.0212 | 4.0 | 6284 | 1.8194 | 0.7225 | |
|
| 0.0185 | 5.0 | 7855 | 1.7677 | 0.7212 | |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.2 |
|
- Tokenizers 0.13.3 |