---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ft-wav2vec2-with-minds-asr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ft-wav2vec2-with-minds-asr

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3474
- Wer: 1.0

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| No log        | 0.2   | 20   | 11.2889         | 1.0 |
| 15.8315       | 0.4   | 40   | 3.3474          | 1.0 |
| 3.4511        | 0.6   | 60   | 3.1646          | 1.0 |
| 3.4511        | 0.8   | 80   | 3.1071          | 1.0 |
| 3.1703        | 1.0   | 100  | 3.0801          | 1.0 |
| 3.1056        | 1.2   | 120  | 3.0708          | 1.0 |
| 3.1056        | 1.4   | 140  | 3.0602          | 1.0 |
| 3.0782        | 1.6   | 160  | 3.0469          | 1.0 |
| 3.0491        | 1.8   | 180  | 3.0536          | 1.0 |
| 3.0491        | 2.0   | 200  | 3.0506          | 1.0 |
| 3.262         | 2.2   | 220  | 3.0482          | 1.0 |
| 3.0506        | 2.4   | 240  | 3.0418          | 1.0 |
| 3.0506        | 2.6   | 260  | 3.0357          | 1.0 |
| 3.1029        | 2.8   | 280  | 3.0308          | 1.0 |
| 3.0059        | 3.0   | 300  | 3.0351          | 1.0 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.3.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2