metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: NEWS_BERT_FINETUNED
results: []
NEWS_BERT_FINETUNED
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: 0.4030
- F1: 0.7928
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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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 | F1 |
|---|---|---|---|---|
| 0.5896 | 1.0 | 48 | 0.4382 | 0.7873 |
| 0.4039 | 2.0 | 96 | 0.3992 | 0.7984 |
| 0.3592 | 3.0 | 144 | 0.4064 | 0.7950 |
| 0.3304 | 4.0 | 192 | 0.4034 | 0.7922 |
| 0.3188 | 5.0 | 240 | 0.4030 | 0.7928 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0