metadata
license: bsd-3-clause
tags:
- generated_from_trainer
model-index:
- name: ASTie-finetuned-on-shEMO
results: []
ASTie-finetuned-on-shEMO
This model is a fine-tuned version of minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.4229
- eval_accuracy: 0.8167
- eval_runtime: 37.6165
- eval_samples_per_second: 7.975
- eval_steps_per_second: 1.01
- epoch: 16.36
- step: 1227
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: 3e-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: 30
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.11.0
- Tokenizers 0.13.2