metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-rte-run_3
results: []
bert-base-uncased-finetuned-rte-run_3
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: 0.6370
- Accuracy: 0.6859
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: 4.329363431290077e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 78 | 0.6310 | 0.6282 |
| No log | 2.0 | 156 | 0.6370 | 0.6859 |
| No log | 3.0 | 234 | 0.9578 | 0.6679 |
| No log | 4.0 | 312 | 1.3768 | 0.6643 |
| No log | 5.0 | 390 | 1.6085 | 0.6534 |
| No log | 6.0 | 468 | 1.6894 | 0.6859 |
| 0.2506 | 7.0 | 546 | 1.7544 | 0.6715 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1