metadata
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tool-bert2
results: []
tool-bert2
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0066
- Accuracy: 0.9992
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 148 | 0.0158 | 0.9975 |
| No log | 2.0 | 296 | 0.0161 | 0.9958 |
| No log | 3.0 | 444 | 0.0069 | 0.9992 |
| 0.1024 | 4.0 | 592 | 0.0066 | 0.9992 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.19.1