metadata
license: apache-2.0
base_model: microsoft/focalnet-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: focal-patacotron
results: []
focal-patacotron
This model is a fine-tuned version of microsoft/focalnet-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0137
- Accuracy: 0.9886
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0043 | 0.97 | 24 | 0.0620 | 0.9773 |
| 0.0 | 1.94 | 48 | 0.0137 | 0.9886 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3