---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-ic-slurp-wt_init-frz-v1
  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-ic-slurp-wt_init-frz-v1

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0306
- Accuracy: 0.0502

## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.9426        | 1.0   | 527  | 4.1870          | 0.0420   |
| 3.7966        | 2.0   | 1055 | 4.0306          | 0.0502   |
| 3.7149        | 3.0   | 1582 | 3.9582          | 0.0434   |
| 3.6478        | 4.0   | 2110 | 3.9343          | 0.0427   |
| 3.5037        | 5.0   | 2637 | 3.9302          | 0.0413   |
| 3.4649        | 6.0   | 3165 | 3.9289          | 0.0474   |
| 3.2427        | 7.0   | 3692 | 3.9650          | 0.0473   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.15.0