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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab9
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-base-timit-demo-colab9
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: 3.1922
- Wer: 1.0
## 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: 8
- 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: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:---:|
| 5.0683 | 1.42 | 500 | 3.2471 | 1.0 |
| 3.1349 | 2.85 | 1000 | 3.2219 | 1.0 |
| 3.1317 | 4.27 | 1500 | 3.2090 | 1.0 |
| 3.1262 | 5.7 | 2000 | 3.2152 | 1.0 |
| 3.1307 | 7.12 | 2500 | 3.2147 | 1.0 |
| 3.1264 | 8.55 | 3000 | 3.2072 | 1.0 |
| 3.1279 | 9.97 | 3500 | 3.2158 | 1.0 |
| 3.1287 | 11.4 | 4000 | 3.2190 | 1.0 |
| 3.1256 | 12.82 | 4500 | 3.2069 | 1.0 |
| 3.1254 | 14.25 | 5000 | 3.2134 | 1.0 |
| 3.1259 | 15.67 | 5500 | 3.2231 | 1.0 |
| 3.1269 | 17.09 | 6000 | 3.2005 | 1.0 |
| 3.1279 | 18.52 | 6500 | 3.1988 | 1.0 |
| 3.1246 | 19.94 | 7000 | 3.1929 | 1.0 |
| 3.128 | 21.37 | 7500 | 3.1864 | 1.0 |
| 3.1245 | 22.79 | 8000 | 3.1868 | 1.0 |
| 3.1266 | 24.22 | 8500 | 3.1852 | 1.0 |
| 3.1239 | 25.64 | 9000 | 3.1855 | 1.0 |
| 3.125 | 27.07 | 9500 | 3.1917 | 1.0 |
| 3.1233 | 28.49 | 10000 | 3.1929 | 1.0 |
| 3.1229 | 29.91 | 10500 | 3.1922 | 1.0 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
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