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---
license: apache-2.0
base_model: facebook/wav2vec2-large-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-cv-demo-google-colab
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-cv-demo-google-colab
This model is a fine-tuned version of [facebook/wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3575
- Wer: 0.2805
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 8.951 | 0.7126 | 300 | 3.0660 | 1.0 |
| 3.0514 | 1.4252 | 600 | 2.9228 | 1.0 |
| 2.7598 | 2.1378 | 900 | 0.7960 | 0.5544 |
| 0.7975 | 2.8504 | 1200 | 0.3575 | 0.2805 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
|