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seamless-m4t-fleurs-indic – AI Model by jonahdvt | AlphaNeural AI
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seamless-m4t-fleurs-indic
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transformers
tensorboard
safetensors
seamless_m4t_v2
automatic-speech-recognition
hi,pa,ta,te,ml
generated_from_trainer
multilingual
google/fleurs
facebook/seamless-m4t-v2-large
finetune
cc-by-nc-4.0
endpoints_compatible
us
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Seamless M4T – FLEURS Indic Multilingual Fine‑tuning
This model is a fine-tuned version of
facebook/seamless-m4t-v2-large
on the FLEURS 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: 2e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 25
training_steps: 925
Training results
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
