finetune_v8 – AI Model by tz3 | AlphaNeural AI

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tz3/
finetune_v8

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automatic-speech-recognition

generated_from_trainer

openai/whisper-large-v3

endpoints_compatible

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finetune_v8

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4224
Wer: 102.2241

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: 16
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 80
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	10.0	10	0.5239	19.1617
No log	20.0	20	0.4346	18.0496
No log	30.0	30	0.4050	17.1942
No log	40.0	40	0.4204	18.4773
0.0997	50.0	50	0.4294	20.6159
0.0997	60.0	60	0.4282	19.6749
0.0997	70.0	70	0.4246	23.9521
0.0997	80.0	80	0.4224	102.2241

Framework versions

Transformers 4.42.3
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1