|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: imrajeshkr/distilhubert-finetuned-speech_commands |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- audiofolder |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: distilhubert-finetuned-speech_commands-finetuned-gtzan |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: audiofolder |
|
type: audiofolder |
|
config: default |
|
split: validation |
|
args: default |
|
metrics: |
|
- name: F1 |
|
type: f1 |
|
value: 0.9786633608199619 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# distilhubert-finetuned-speech_commands-finetuned-gtzan |
|
|
|
This model is a fine-tuned version of [imrajeshkr/distilhubert-finetuned-speech_commands](https://huggingface.co/imrajeshkr/distilhubert-finetuned-speech_commands) on the audiofolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1986 |
|
- F1: 0.9787 |
|
|
|
## 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 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.1816 | 1.0 | 4861 | 0.1493 | 0.9679 | |
|
| 0.0001 | 2.0 | 9722 | 0.2278 | 0.9640 | |
|
| 0.0 | 3.0 | 14583 | 0.2210 | 0.9667 | |
|
| 0.0005 | 4.0 | 19444 | 0.1952 | 0.9749 | |
|
| 0.1422 | 5.0 | 24305 | 0.1884 | 0.9762 | |
|
| 0.0 | 6.0 | 29166 | 0.1888 | 0.9780 | |
|
| 0.0 | 7.0 | 34027 | 0.2164 | 0.9728 | |
|
| 0.0 | 8.0 | 38888 | 0.2039 | 0.9774 | |
|
| 0.0 | 9.0 | 43749 | 0.1925 | 0.9800 | |
|
| 0.0 | 10.0 | 48610 | 0.1986 | 0.9787 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
