Darejkal
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ss-multilang-asr-st-mong-202604020-3

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ss-multilang-asr-st-mong-202604020-3

This model was trained from scratch 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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.01
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.5.3
Pytorch 2.7.1+cu118
Datasets 4.8.5
Tokenizers 0.22.2

Downloads last month: 2

Safetensors

Model size

1B params

Tensor type

F32

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