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dylanewbie/
whisper-large-v2-ft-common_voice_16_1-241026-v1

Name: whisper-large-v2-ft-common_voice_16_1-241026-v1
Availability: InStock

peft

safetensors

generated_from_trainer

common_voice_16_1

openai/whisper-large-v2

adapter

apache-2.0

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whisper-large-v2-ft-common_voice_16_1-241026-v1

This model is a fine-tuned version of openai/whisper-large-v2 on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.1253

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: 128
eval_batch_size: 128
seed: 42
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
4.2703	1.0	56	2.2818
1.602	2.0	112	0.6618
0.3079	3.0	168	0.1281
0.1397	4.0	224	0.1231
0.1213	5.0	280	0.1214
0.1084	6.0	336	0.1225
0.0983	7.0	392	0.1239
0.0918	8.0	448	0.1237
0.0862	9.0	504	0.1248
0.0824	10.0	560	0.1253

Framework versions

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

dylanewbie/whisper-large-v2-ft-common_voice_16_1-241026-v1

whisper-large-v2-ft-common_voice_16_1-241026-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dylanewbie/
whisper-large-v2-ft-common_voice_16_1-241026-v1