---
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
  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

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: 3.8656
- Accuracy: 0.0665

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.7043        | 1.0   | 527  | 3.9874          | 0.0430   |
| 3.6973        | 2.0   | 1055 | 3.8656          | 0.0665   |
| 3.6275        | 3.0   | 1582 | 4.3487          | 0.0104   |
| 3.4852        | 4.0   | 2110 | 4.1588          | 0.0525   |
| 3.8932        | 5.0   | 2637 | 3.8819          | 0.0627   |
| 3.9246        | 6.0   | 3165 | 3.8627          | 0.0627   |
| 3.8914        | 7.0   | 3692 | 3.8517          | 0.0627   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2