urarik
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flan-t5-base-asr

text2text-generation

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text-generation-inference

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flan-t5-base-asr

This model is a fine-tuned version of google/flan-t5-base 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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use paged_lion_8bit and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 2.17.1
Tokenizers 0.21.0

Downloads last month: 2

Safetensors

Model size

0.2B params

Tensor type

F32

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