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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: revised_ft_wav2vec2_base_thirty
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. -->
# revised_ft_wav2vec2_base_thirty
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: 2.7407
- Wer: 99.8829
- Cer: 98.8775
## 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: 32
- 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: 2000
- training_steps: 4500
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 3.5435 | 3.5088 | 1000 | 2.7750 | 99.9040 | 98.9988 |
| 0.885 | 7.0175 | 2000 | 0.6658 | 33.7675 | 14.7845 |
| 0.391 | 10.5263 | 3000 | 0.6526 | 29.5786 | 13.3104 |
| 0.2561 | 14.0351 | 4000 | 0.6522 | 27.3708 | 12.2904 |
### Framework versions
- Transformers 4.40.2
- Pytorch 1.12.1+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1
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