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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test-model
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. -->
# test-model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3947
- Accuracy: 0.8833
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.0551 | 0.9960 | 62 | 0.9662 | 0.5412 |
| 0.9308 | 1.9920 | 124 | 0.8707 | 0.5433 |
| 0.7962 | 2.9880 | 186 | 0.7354 | 0.6841 |
| 0.7254 | 4.0 | 249 | 0.7400 | 0.7042 |
| 0.5941 | 4.9960 | 311 | 0.5405 | 0.8169 |
| 0.4736 | 5.9920 | 373 | 0.5045 | 0.8471 |
| 0.4399 | 6.9880 | 435 | 0.4102 | 0.8813 |
| 0.374 | 8.0 | 498 | 0.4052 | 0.8813 |
| 0.3425 | 8.9960 | 560 | 0.4335 | 0.8632 |
| 0.3171 | 9.9598 | 620 | 0.3947 | 0.8833 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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