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xuliu15/
Frisian_32r_LoRA_1h

Name: Frisian_32r_LoRA_1h
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

mozilla-foundation/common_voice_6_1

openai/whisper-small

adapter

apache-2.0

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LoRA-Frisian-1h

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_6_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.8286

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6913	1.0	89	1.1389
0.6757	2.0	178	0.9073
0.3686	3.0	267	0.8561
0.2062	4.0	356	0.8493
0.11	5.0	445	0.8448
0.0652	6.0	534	0.8446
0.0393	7.0	623	0.8239
0.0205	8.0	712	0.8243
0.0137	9.0	801	0.8279
0.0095	10.0	890	0.8105
0.0065	11.0	979	0.8192
0.0076	12.0	1068	0.8240
0.006	13.0	1157	0.8255
0.0048	14.0	1246	0.8272
0.0038	15.0	1335	0.8286

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

xuliu15/Frisian_32r_LoRA_1h

LoRA-Frisian-1h

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xuliu15/
Frisian_32r_LoRA_1h