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-base-finetuned-ic-slurp-wt_init
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base-finetuned-ic-slurp-wt_init

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: 3.8597
- Accuracy: 0.0627

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.7961        | 1.0   | 527  | 3.9199          | 0.0400   |
| 3.797         | 2.0   | 1055 | 3.9294          | 0.0520   |
| 3.9174        | 3.0   | 1582 | 3.8597          | 0.0627   |
| 3.9264        | 4.0   | 2110 | 3.8551          | 0.0627   |
| 3.8772        | 5.0   | 2637 | 3.8744          | 0.0627   |
| 3.9218        | 6.0   | 3165 | 3.8676          | 0.0627   |
| 3.8898        | 7.0   | 3692 | 3.8515          | 0.0627   |
| 3.9045        | 8.0   | 4220 | 3.8544          | 0.0627   |


### Framework versions

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