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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.8_da0.3
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. -->
# w2v2-base-pretrained_lr1e-4_at0.8_da0.3
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6989
- Wer: 0.2119
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 200
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 18.5074 | 7.14 | 100 | 3.4425 | 1.0 |
| 3.1775 | 14.29 | 200 | 3.1511 | 1.0 |
| 3.0847 | 21.43 | 300 | 3.1561 | 1.0 |
| 2.9897 | 28.57 | 400 | 2.8890 | 1.0 |
| 1.5122 | 35.71 | 500 | 1.0324 | 0.5404 |
| 0.2161 | 42.86 | 600 | 1.2853 | 0.2960 |
| 0.1074 | 50.0 | 700 | 1.4629 | 0.2456 |
| 0.0707 | 57.14 | 800 | 1.5134 | 0.2183 |
| 0.051 | 64.29 | 900 | 1.4349 | 0.2097 |
| 0.04 | 71.43 | 1000 | 1.6989 | 0.2119 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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