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---
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-sw-cv-100hr-v5
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-large-sw-cv-100hr-v5
This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8148
- Model Preparation Time: 0.0038
- Wer: 0.5557
- Cer: 0.2034
## 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: 0.0007
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.033
- num_epochs: 100
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:------:|:------:|
| 1.5047 | 1.0 | 1040 | 0.5420 | 0.0038 | 0.5182 | 0.1481 |
| 0.4317 | 2.0 | 2080 | 0.6919 | 0.0038 | 0.6485 | 0.2046 |
| 1.7978 | 3.0 | 3120 | 2.9072 | 0.0038 | 1.0 | 1.0 |
| 2.8626 | 4.0 | 4160 | 2.8802 | 0.0038 | 1.0 | 1.0 |
| 2.8609 | 5.0 | 5200 | 2.8577 | 0.0038 | 1.0 | 1.0 |
| 2.861 | 6.0 | 6240 | 2.8602 | 0.0038 | 1.0 | 1.0 |
| 2.8602 | 7.0 | 7280 | 2.8747 | 0.0038 | 1.0 | 1.0 |
| 2.8603 | 8.0 | 8320 | 2.8618 | 0.0038 | 1.0 | 1.0 |
| 2.8597 | 9.0 | 9360 | 2.8668 | 0.0038 | 1.0 | 1.0 |
| 2.8598 | 10.0 | 10400 | 2.8657 | 0.0038 | 1.0 | 1.0 |
| 2.8598 | 11.0 | 11440 | 2.8603 | 0.0038 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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