train05 – AI Model by DragonLine | AlphaNeural AI

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DragonLine/
train05

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

DragonLine/ksponspeech_05

openai/whisper-base

endpoints_compatible

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train05

This model is a fine-tuned version of openai/whisper-base on the ksponspeech_05 dataset. It achieves the following results on the evaluation set:

Loss: 0.4059
Cer: 13.3884

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: 1e-05
train_batch_size: 128
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.434	0.13	100	0.4239	14.0769
0.4208	0.25	200	0.4212	14.0593
0.4245	0.38	300	0.4196	13.9936
0.4173	0.51	400	0.4169	14.0972
0.4245	0.63	500	0.4147	14.0310
0.4103	0.76	600	0.4102	14.1257
0.4097	0.88	700	0.4059	13.3884

Framework versions

Transformers 4.36.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0