whisper-large-v2-ft-tms-BTU6567_silence_base-on-car350-250422-v1 – AI Model by dylanewbie | AlphaNeural AI

You can deploy this model and start earning money today!

dylanewbie/
whisper-large-v2-ft-tms-BTU6567_silence_base-on-car350-250422-v1

like

0

generated_from_trainer

openai/whisper-large-v2

Views

No views yet

whisper-large-v2-ft-tms-BTU6567_silence_base-on-car350-250422-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: 2.8963

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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
13.985	1.0	1	14.5871
14.0198	2.0	2	14.5871
13.9792	3.0	3	14.5871
13.9951	4.0	4	14.5871
13.995	5.0	5	14.5871
14.0008	6.0	6	14.3061
13.7294	7.0	7	14.3061
13.7231	8.0	8	13.6134
13.0157	9.0	9	12.5096
11.682	10.0	10	10.4350
9.3305	11.0	11	7.3042
7.4152	12.0	12	6.3486
6.202	13.0	13	5.1358
5.0984	14.0	14	4.7347
4.8599	15.0	15	4.5979
4.7433	16.0	16	4.4747
4.6267	17.0	17	4.3350
4.4997	18.0	18	4.1838
4.3673	19.0	19	4.0262
4.2335	20.0	20	3.8706
4.0869	21.0	21	3.7173
3.9376	22.0	22	3.5768
3.7974	23.0	23	3.4486
3.674	24.0	24	3.3342
3.5471	25.0	25	3.2328
3.4338	26.0	26	3.1428
3.3387	27.0	27	3.0653
3.2617	28.0	28	2.9998
3.1746	29.0	29	2.9434
3.1137	30.0	30	2.8963

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.0