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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
base_model: facebook/hubert-large-ll60k
model-index:
- name: hubert-large-ll60k-finetuned-gtzan
results: []
---
<!-- 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. -->
# hubert-large-ll60k-finetuned-gtzan
This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9220
- Accuracy: 0.73
## 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: 7e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2456 | 1.0 | 56 | 2.2312 | 0.34 |
| 2.059 | 1.99 | 112 | 1.9662 | 0.32 |
| 1.8574 | 2.99 | 168 | 1.6258 | 0.5 |
| 1.4447 | 4.0 | 225 | 1.4547 | 0.59 |
| 1.4224 | 5.0 | 281 | 1.2372 | 0.65 |
| 1.2131 | 5.99 | 337 | 1.0879 | 0.67 |
| 1.1151 | 6.99 | 393 | 1.0599 | 0.69 |
| 0.9471 | 8.0 | 450 | 1.0339 | 0.68 |
| 1.0319 | 9.0 | 506 | 0.9568 | 0.71 |
| 0.9313 | 9.96 | 560 | 0.9220 | 0.73 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|