metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-vi-infovqa
results: []
bert-base-uncased-finetuned-vi-infovqa
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5470
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: 4
- eval_batch_size: 4
- seed: 250500
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.21 | 100 | 4.2058 |
| No log | 0.43 | 200 | 4.0210 |
| No log | 0.64 | 300 | 4.0454 |
| No log | 0.85 | 400 | 3.7557 |
| 4.04 | 1.07 | 500 | 3.8257 |
| 4.04 | 1.28 | 600 | 3.7713 |
| 4.04 | 1.49 | 700 | 3.6075 |
| 4.04 | 1.71 | 800 | 3.6155 |
| 4.04 | 1.92 | 900 | 3.5470 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3