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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-mednames1
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. -->
# wav2vec2-base-finetuned-mednames1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5263
- Accuracy: 0.9727
## 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: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2881 | 1.0 | 22 | 2.2690 | 0.2273 |
| 2.2234 | 2.0 | 44 | 2.1631 | 0.2273 |
| 1.9756 | 3.0 | 66 | 1.9277 | 0.5182 |
| 1.7191 | 4.0 | 88 | 1.6293 | 0.6818 |
| 1.4663 | 5.0 | 110 | 1.3919 | 0.7545 |
| 1.27 | 6.0 | 132 | 1.1689 | 0.8182 |
| 1.1112 | 7.0 | 154 | 1.0144 | 0.8364 |
| 0.9623 | 8.0 | 176 | 0.9137 | 0.8545 |
| 0.8764 | 9.0 | 198 | 0.7901 | 0.8909 |
| 0.7776 | 10.0 | 220 | 0.7229 | 0.8727 |
| 0.7266 | 11.0 | 242 | 0.6335 | 0.9 |
| 0.6379 | 12.0 | 264 | 0.5848 | 0.9636 |
| 0.6121 | 13.0 | 286 | 0.5509 | 0.9273 |
| 0.5732 | 14.0 | 308 | 0.5263 | 0.9727 |
| 0.5579 | 15.0 | 330 | 0.5221 | 0.9727 |
### Framework versions
- Transformers 4.27.2
- Pytorch 1.11.0+cu102
- Datasets 2.10.1
- Tokenizers 0.13.2
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