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braj-speech-to-text-test – AI Model by nsnihal | AlphaNeural AI
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nsnihal
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braj-speech-to-text-test
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peft
safetensors
generated_from_trainer
facebook/seamless-m4t-v2-large
adapter
cc-by-nc-4.0
us
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braj-speech-to-text-test
This model is a fine-tuned version of
facebook/seamless-m4t-v2-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.8738
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
11.5591
1.0
5
6.8738
Framework versions
PEFT 0.15.2
Transformers 4.44.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.19.1
