whisper-large-v2-ft-tms-0418-good-30_base-on-car350-250504-v1 – AI Model by dylanewbie | AlphaNeural AI

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whisper-large-v2-ft-tms-0418-good-30_base-on-car350-250504-v1

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openai/whisper-large-v2

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whisper-large-v2-ft-tms-0418-good-30_base-on-car350-250504-v1

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 7.8673

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
12.8848	1.0	1	13.3228
12.8451	2.0	2	13.3228
12.9658	3.0	3	13.3228
12.8821	4.0	4	13.3228
12.7804	5.0	5	13.3228
12.857	6.0	6	12.4657
12.046	7.0	7	10.7954
10.1789	8.0	8	10.7954
10.1851	9.0	9	9.1693
8.4416	10.0	10	7.8673

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.5.0+cu124
Datasets 2.21.0
Tokenizers 0.20.0