whisper-tiny-komixv2

Name: whisper-tiny-komixv2
Author: seastar105

2 languages

—

seastar105

Audio Model

OTHER

New

7 downloads

Early-stage

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Edge AI:

Mobile

Laptop

Server

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Mobile

Laptop

Server

Quick Summary

AI model with specialized capabilities.

Code Examples

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

text

train_steps: 50000
warmup_steps: 500
lr scheduler: linear warmup cosine decay
max learning rate: 1e-4
batch size: 1024
max_grad_norm: 1.0
adamw_beta1: 0.9
adamw_beta2: 0.98
adamw_eps: 1e-6

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