metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-finetuned-10Epochs64Batch
results: []
bert-finetuned-10Epochs64Batch
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: 0.6931
- Accuracy: 0.4993
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: 64
- eval_batch_size: 64
- 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 | Accuracy |
|---|---|---|---|---|
| 0.6962 | 1.0 | 569 | 0.6931 | 0.5094 |
| 0.6969 | 2.0 | 1138 | 0.6931 | 0.5062 |
| 0.6959 | 3.0 | 1707 | 0.6931 | 0.5106 |
| 0.6959 | 4.0 | 2276 | 0.6931 | 0.4975 |
| 0.6948 | 5.0 | 2845 | 0.6931 | 0.5109 |
| 0.6944 | 6.0 | 3414 | 0.6931 | 0.4948 |
| 0.695 | 7.0 | 3983 | 0.6931 | 0.5092 |
| 0.694 | 8.0 | 4552 | 0.6931 | 0.5054 |
| 0.6941 | 9.0 | 5121 | 0.6931 | 0.4998 |
| 0.6944 | 10.0 | 5690 | 0.6931 | 0.4993 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2