metadata
license: apache-2.0
base_model: google-bert/bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: chemical-ner-bert-large-uncased-5
results: []
chemical-ner-bert-large-uncased-5
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0906
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1366 | 1.0 | 852 | 0.0949 |
| 0.0815 | 2.0 | 1704 | 0.0850 |
| 0.065 | 3.0 | 2556 | 0.0906 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2