metadata
license: bsd-3-clause
base_model: MIT/ast-finetuned-speech-commands-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: v18-ast-finetuned-speech-commands-v2-poisoned
results: []
v18-ast-finetuned-speech-commands-v2-poisoned
This model is a fine-tuned version of MIT/ast-finetuned-speech-commands-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4210
- Accuracy: 0.9261
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: 30
- eval_batch_size: 30
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 120
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.92 | 3 | 6.7521 | 0.0 |
| No log | 1.85 | 6 | 3.2626 | 0.0028 |
| No log | 2.77 | 9 | 1.5853 | 0.3722 |
| 5.8384 | 4.0 | 13 | 0.5302 | 0.9119 |
| 5.8384 | 4.62 | 15 | 0.4210 | 0.9261 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1