transformers safetensors wav2vec2 audio-classification generated_from_trainer base_model:facebook/wav2vec2-large-robust license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/wav2vec2-large-robust
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-robust-finetuned-ie
  results: []
---

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# wav2vec2-large-robust-finetuned-ie

This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1133
- Accuracy: 0.5536

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3699        | 1.0   | 102  | 1.3843          | 0.2502   |
| 1.2027        | 2.0   | 204  | 1.1851          | 0.4200   |
| 1.047         | 3.0   | 306  | 1.1356          | 0.4520   |
| 1.0414        | 4.0   | 408  | 1.1702          | 0.4627   |
| 0.9885        | 5.0   | 510  | 1.0295          | 0.5354   |
| 0.9873        | 6.0   | 612  | 1.0988          | 0.5228   |
| 0.9309        | 7.0   | 714  | 1.1347          | 0.5257   |
| 0.8401        | 8.0   | 816  | 1.1502          | 0.5286   |
| 0.8253        | 9.0   | 918  | 1.0792          | 0.5577   |
| 0.8741        | 10.0  | 1020 | 1.2591          | 0.5267   |
| 0.8177        | 11.0  | 1122 | 1.3007          | 0.5141   |
| 0.7633        | 12.0  | 1224 | 1.1962          | 0.5509   |
| 0.8185        | 13.0  | 1326 | 1.1022          | 0.5984   |
| 0.7481        | 14.0  | 1428 | 1.1741          | 0.5694   |
| 0.719         | 15.0  | 1530 | 1.1645          | 0.5781   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
