CoolFace
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pisethchan/trainer_output

sourceHugging Facecc-by-nc-4.0updated 7mo agoView on Hugging Face
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trainer_output

This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3846
  • —Wer: 0.4456

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
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
4.52890.19761000.77680.7000
0.85660.39532000.60450.6389
0.73290.59293000.53430.5567
0.72190.79054000.49800.5359
0.65560.98815000.46490.5202
0.55821.18586000.45560.5060
0.55911.38347000.42800.4818
0.51001.58108000.40580.4652
0.53901.77879000.39010.4479
0.51541.976310000.38460.4456

Framework versions

  • —Transformers 5.3.0.dev0
  • —Pytorch 2.9.0+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2