File size: 1,804 Bytes
ea25be5 7a82a96 ea25be5 7a82a96 ea25be5 7a82a96 ea25be5 7a82a96 ea25be5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab-1
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-colab-1
This model is a fine-tuned version of [zasheza/wav2vec2-base-timit-demo-colab-1](https://huggingface.co/zasheza/wav2vec2-base-timit-demo-colab-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8811
- Wer: 0.4169
## 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: 6
- 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: 800
- num_epochs: 40
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.161 | 5.26 | 500 | 0.7465 | 0.4496 |
| 0.1852 | 10.53 | 1000 | 0.8108 | 0.4739 |
| 0.1457 | 15.79 | 1500 | 0.9073 | 0.4600 |
| 0.1073 | 21.05 | 2000 | 0.8817 | 0.4486 |
| 0.085 | 26.32 | 2500 | 0.9262 | 0.4442 |
| 0.0753 | 31.58 | 3000 | 0.8838 | 0.4337 |
| 0.0647 | 36.84 | 3500 | 0.8811 | 0.4169 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
|