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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-coba-sandy
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-coba-sandy
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: 0.6048
- Wer: 0.5118
## 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: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.0362 | 0.2008 | 100 | 3.1211 | 1.0 |
| 2.9869 | 0.4016 | 200 | 3.1039 | 1.0 |
| 2.9429 | 0.6024 | 300 | 2.9918 | 1.0 |
| 2.6059 | 0.8032 | 400 | 2.1529 | 1.0098 |
| 1.6444 | 1.0040 | 500 | 1.2032 | 0.9262 |
| 1.0685 | 1.2048 | 600 | 0.8444 | 0.6414 |
| 0.8178 | 1.4056 | 700 | 0.7169 | 0.5498 |
| 0.7488 | 1.6064 | 800 | 0.6162 | 0.5415 |
| 0.6292 | 1.8072 | 900 | 0.6048 | 0.5118 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1
|