metadata
base_model: gechim/metadata-cls-no-gov-8k-v3
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhobertLexicalMeta
results: []
PhobertLexicalMeta
This model is a fine-tuned version of gechim/metadata-cls-no-gov-8k-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0927
- Accuracy: 0.9792
- F1: 0.9664
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: 64
- eval_batch_size: 64
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1701 | 1.9608 | 200 | 0.0936 | 0.9741 | 0.9575 |
| 0.0537 | 3.9216 | 400 | 0.0780 | 0.9780 | 0.9647 |
| 0.0252 | 5.8824 | 600 | 0.0762 | 0.9805 | 0.9687 |
| 0.016 | 7.8431 | 800 | 0.0996 | 0.9780 | 0.9640 |
| 0.0098 | 9.8039 | 1000 | 0.0927 | 0.9792 | 0.9664 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1