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---
base_model: facebook/wav2vec2-base
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: 241103_wav2vec2_Augmented_Dataset
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. -->
# 241103_wav2vec2_Augmented_Dataset
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: 1.8439
- 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| No log | 1.0 | 40 | 1.8480 | 1.0 |
| No log | 2.0 | 80 | 1.8473 | 1.0 |
| No log | 3.0 | 120 | 1.8458 | 1.0 |
| No log | 4.0 | 160 | 1.8448 | 1.0 |
| No log | 5.0 | 200 | 1.8447 | 1.0 |
| No log | 6.0 | 240 | 1.8444 | 1.0 |
| No log | 7.0 | 280 | 1.8440 | 1.0 |
| No log | 8.0 | 320 | 1.8439 | 1.0 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1
|