metadata
license: mit
base_model: BigTMiami/test_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_domain_to_classification_test
results: []
amazon_domain_to_classification_test
This model is a fine-tuned version of BigTMiami/test_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3816
- Accuracy: 0.8538
- F1 Macro: 0.5005
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.3879 | 1.0 | 1563 | 0.3816 | 0.8538 | 0.5005 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2