metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-cased-finetuned-news-all-pegasus-batch16
results: []
bert-base-cased-finetuned-news-all-pegasus-batch16
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4306
- F1: 0.8941
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: 16
- eval_batch_size: 16
- seed: 47
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0804 | 1.0 | 3124 | 0.2810 | 0.8891 |
| 0.0462 | 2.0 | 6248 | 0.3563 | 0.8944 |
| 0.014 | 3.0 | 9372 | 0.4306 | 0.8941 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1