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baseline_ebranchformer_v2.3_fp32 – AI Model by Lakoc | AlphaNeural AI
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baseline_ebranchformer_v2.3_fp32
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joint_aed_ctc_speech-encoder-decoder
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baseline_ebranchformer_v2.3_fp32
This model is a fine-tuned version of
on an unknown dataset.
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: 0.002
train_batch_size: 64
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 512
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40000
num_epochs: 240.0
Training results
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.0+rocm5.6
Datasets 2.18.0
Tokenizers 0.15.2
Wandb run
https://wandb.ai/butspeechfit/librispeech_aed/runs/baseline_ebranchformer_v2.3_fp32
