metadata
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- precision
- f1
model-index:
- name: Palate-classifier-with-ratings
results: []
Palate-classifier-with-ratings
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1612
- Accuracy: 0.2
- Recall: 0.2
- Precision: 0.2
- F1: 0.2000
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 2.1063 | 0.3 | 0.3 | 0.3 | 0.3 |
| No log | 2.0 | 4 | 2.1886 | 0.2 | 0.2 | 0.2 | 0.2000 |
| No log | 3.0 | 6 | 2.1612 | 0.2 | 0.2 | 0.2 | 0.2000 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2