metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SOMD-train-bert-v3
results: []
SOMD-train-bert-v3
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: 0.0000
- F1: 1.0
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1243 | 0.0048 | 0.7214 |
| No log | 2.0 | 2486 | 0.0024 | 0.8299 |
| No log | 3.0 | 3729 | 0.0011 | 0.9137 |
| No log | 4.0 | 4972 | 0.0006 | 0.9494 |
| No log | 5.0 | 6215 | 0.0002 | 0.9820 |
| No log | 6.0 | 7458 | 0.0001 | 0.9888 |
| No log | 7.0 | 8701 | 0.0003 | 0.9839 |
| No log | 8.0 | 9944 | 0.0001 | 0.9960 |
| No log | 9.0 | 11187 | 0.0000 | 0.9995 |
| No log | 10.0 | 12430 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1