metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: BERT-base-airlines-news
results: []
BERT-base-airlines-news
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3065
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: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1723 | 1.0 | 38 | 2.0664 |
| 1.9098 | 2.0 | 76 | 1.7892 |
| 1.8047 | 3.0 | 114 | 1.5817 |
| 1.4636 | 4.0 | 152 | 1.4295 |
| 1.2836 | 5.0 | 190 | 1.3065 |
| 1.0597 | 6.0 | 228 | 1.3151 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2