|
--- |
|
license: apache-2.0 |
|
base_model: facebook/hubert-base-ls960 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: ckpts |
|
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. --> |
|
|
|
# ckpts |
|
|
|
This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2847 |
|
- Accuracy: 0.9394 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-------:|:----:|:---------------:|:--------:| |
|
| 0.4293 | 2.2422 | 500 | 0.4459 | 0.8788 | |
|
| 0.2063 | 4.4843 | 1000 | 0.2847 | 0.9394 | |
|
| 0.1392 | 6.7265 | 1500 | 0.3088 | 0.9394 | |
|
| 0.1434 | 8.9686 | 2000 | 0.3495 | 0.9444 | |
|
| 0.097 | 11.2108 | 2500 | 0.3493 | 0.9394 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0.dev0 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.1.dev0 |
|
- Tokenizers 0.15.2 |
|
|
