metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-bert-uncased
results: []
finetuned-bert-uncased
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: -1.0673
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: 2e-05
- train_batch_size: 128
- eval_batch_size: 256
- 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 |
|---|---|---|---|
| No log | 1.0 | 16 | -0.3245 |
| No log | 2.0 | 32 | -0.8025 |
| No log | 3.0 | 48 | -1.0064 |
| No log | 4.0 | 64 | -1.0578 |
| No log | 5.0 | 80 | -1.0673 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3