---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-fluency-checkpoints
  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-fluency-checkpoints

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6840
- Accuracy: 0.24
- F1: 0.0484
- Qwk: 0.0

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Qwk |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---:|
| 1.9027        | 1.0   | 149  | 1.5752          | 0.3919   | 0.0804 | 0.0 |
| 1.5771        | 2.0   | 298  | 1.5067          | 0.3919   | 0.0804 | 0.0 |
| 1.8437        | 3.0   | 447  | 1.5069          | 0.3919   | 0.0804 | 0.0 |
| 1.5636        | 4.0   | 596  | 1.5043          | 0.3919   | 0.0804 | 0.0 |
| 1.7911        | 5.0   | 745  | 1.5095          | 0.3919   | 0.0804 | 0.0 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1