transformers tensorboard safetensors wav2vec2 audio-classification generated_from_trainer base_model:facebook/wav2vec2-base license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2_three_classes_osd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2_three_classes_osd

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: 0.9518
- Accuracy: 0.8502

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3576        | 1.0   | 3610  | 0.8598          | 0.7761   |
| 0.296         | 2.0   | 7220  | 0.6544          | 0.8245   |
| 0.2625        | 3.0   | 10830 | 0.6989          | 0.8249   |
| 0.2893        | 4.0   | 14441 | 0.7386          | 0.8329   |
| 0.2469        | 5.0   | 18051 | 0.8016          | 0.8433   |
| 0.2201        | 6.0   | 21661 | 0.7419          | 0.8444   |
| 0.2084        | 7.0   | 25271 | 0.8639          | 0.8449   |
| 0.2034        | 8.0   | 28882 | 0.8847          | 0.8499   |
| 0.1774        | 9.0   | 32492 | 0.9076          | 0.8443   |
| 0.1636        | 10.0  | 36102 | 0.9518          | 0.8502   |
| 0.1418        | 11.0  | 39712 | 1.0567          | 0.8469   |
| 0.1462        | 12.0  | 43323 | 1.0724          | 0.8449   |
| 0.1201        | 13.0  | 46933 | 1.0731          | 0.8448   |
| 0.1249        | 14.0  | 50543 | 1.1191          | 0.8440   |
| 0.1028        | 15.0  | 54153 | 1.0599          | 0.8486   |
| 0.1075        | 16.0  | 57764 | 1.1090          | 0.8465   |
| 0.1246        | 17.0  | 61374 | 1.1029          | 0.8497   |
| 0.088         | 18.0  | 64984 | 1.1654          | 0.8457   |
| 0.0875        | 19.0  | 68594 | 1.1944          | 0.8476   |
| 0.0695        | 20.0  | 72200 | 1.1755          | 0.8486   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
