poly-6 – AI Model by Hemg | AlphaNeural AI

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Hemg/
poly-6

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automatic-speech-recognition

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facebook/wav2vec2-base

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poly-6

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

Loss: 27.5287
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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
15.5918	1.0	1	27.5287	1.0
15.5936	2.0	2	27.5287	1.0
15.6148	3.0	3	27.5287	1.0
15.6283	4.0	4	27.5287	1.0

Framework versions

Transformers 4.40.2
Pytorch 2.1.2+cpu
Datasets 2.19.1
Tokenizers 0.19.1