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---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert-base-libri-pruning-v1
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-v1
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: -7634.6143
- Wer: 0.4250
## 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: 0.00015
- 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: 3000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| -14.3776 | 1.12 | 500 | -47.0374 | 0.5235 |
| -106.5986 | 2.24 | 1000 | -189.7623 | 0.4825 |
| -291.2003 | 3.36 | 1500 | -428.0651 | 0.4726 |
| -567.486 | 4.48 | 2000 | -761.7246 | 0.4628 |
| -934.1564 | 5.61 | 2500 | -1190.6781 | 0.4580 |
| -1396.4066 | 6.73 | 3000 | -1714.8335 | 0.4487 |
| -1930.5184 | 7.85 | 3500 | -2271.9685 | 0.4422 |
| -2452.421 | 8.97 | 4000 | -2802.5127 | 0.4418 |
| -2953.0952 | 10.09 | 4500 | -3304.3562 | 0.4386 |
| -3427.7243 | 11.21 | 5000 | -3779.5505 | 0.4357 |
| -3879.0445 | 12.33 | 5500 | -4227.1289 | 0.4339 |
| -4302.3395 | 13.45 | 6000 | -4647.1260 | 0.4311 |
| -4680.295 | 14.57 | 6500 | -5039.4692 | 0.4283 |
| -5054.8855 | 15.7 | 7000 | -5404.1592 | 0.4306 |
| -5377.8435 | 16.82 | 7500 | -5741.4082 | 0.4286 |
| -5688.8665 | 17.94 | 8000 | -6051.0688 | 0.4290 |
| -5990.955 | 19.06 | 8500 | -6333.1387 | 0.4284 |
| -6252.404 | 20.18 | 9000 | -6587.1460 | 0.4257 |
| -6481.961 | 21.3 | 9500 | -6814.2788 | 0.4268 |
| -6695.5835 | 22.42 | 10000 | -7013.8809 | 0.4256 |
| -6859.0875 | 23.54 | 10500 | -7185.9956 | 0.4255 |
| -7015.5155 | 24.66 | 11000 | -7330.6577 | 0.4271 |
| -7170.5215 | 25.78 | 11500 | -7447.6372 | 0.4256 |
| -7244.894 | 26.91 | 12000 | -7537.4111 | 0.4243 |
| -7320.932 | 28.03 | 12500 | -7599.7690 | 0.4248 |
| -7366.4105 | 29.15 | 13000 | -7634.6143 | 0.4250 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
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