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---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-base-libri-pruning-v2-testing4-final
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. -->
# hubert-base-libri-pruning-v2-testing4-final
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5133
- Wer: 0.9962
## 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: 64
- 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: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.0283 | 1.12 | 500 | 11.2288 | 1.0 |
| 6.3979 | 2.24 | 1000 | 7.1301 | 0.9999 |
| 4.2992 | 3.36 | 1500 | 4.9714 | 0.9993 |
| 3.5827 | 4.48 | 2000 | 4.3086 | 0.9993 |
| 3.2057 | 5.61 | 2500 | 3.7872 | 0.9991 |
| 2.8439 | 6.73 | 3000 | 3.2309 | 0.9986 |
| 2.5046 | 7.85 | 3500 | 2.7973 | 0.9976 |
| 2.2656 | 8.97 | 4000 | 2.5133 | 0.9962 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
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