|
--- |
|
license: apache-2.0 |
|
base_model: bert-large-uncased |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- massive |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert-large-uncased_finetuning |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: massive |
|
type: massive |
|
config: en-US |
|
split: validation |
|
args: en-US |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.863483523873571 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bert-large-uncased_finetuning |
|
|
|
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the massive dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6719 |
|
- Accuracy: 0.8635 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 15 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.748 | 1.39 | 500 | 0.6449 | 0.8426 | |
|
| 0.5674 | 2.78 | 1000 | 0.6501 | 0.8564 | |
|
| 0.385 | 4.17 | 1500 | 0.6410 | 0.8623 | |
|
| 0.2833 | 5.56 | 2000 | 0.6784 | 0.8495 | |
|
| 0.202 | 6.94 | 2500 | 0.7068 | 0.8716 | |
|
| 0.1405 | 8.33 | 3000 | 0.7838 | 0.8770 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.0 |
|
|
