rocky250
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ASR_Extension

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ASR_Extension

This model is a fine-tuned version of rocky250/ASR_Extension on the None 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: 1e-05
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: 500
training_steps: 1000

Training results

Framework versions

Transformers 4.36.2
Pytorch 2.9.0+cu126
Datasets 2.21.0
Tokenizers 0.15.2

Downloads last month: 23

Safetensors

Model size

0.2B params

Tensor type

F32

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