baseline_ebranchformer_v2.2_fp32_gated

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: 20000
• num_epochs: 150.0

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_v2.2_fp32_gated