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easycall-mms1ball-Nov30 – AI Model by sqrk | AlphaNeural AI

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sqrk/
easycall-mms1ball-Nov30

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facebook/mms-1b-all

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easycall-mms1ball-Nov30

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: inf
eval_wer: 0.2488
eval_runtime: 28.8353
eval_samples_per_second: 28.68
eval_steps_per_second: 7.179
epoch: 4.0355
step: 10000

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: 0.001
train_batch_size: 3
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 100
mixed_precision_training: Native AMP

Framework versions

Transformers 4.43.4
Pytorch 2.4.1
Datasets 3.0.0
Tokenizers 0.19.1