batch_size_4 – AI Model by monideep2255 | AlphaNeural AI

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batch_size_4

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batch_size_4

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5806

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
12.4967	3.36	200	3.6996
3.7	6.72	400	3.5820
3.5581	10.08	600	3.2334
2.7618	13.45	800	2.2745
1.7252	16.81	1000	1.6220
1.0954	20.17	1200	1.6073
0.7551	23.53	1400	1.6130
0.5615	26.89	1600	1.5806

Framework versions

Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2