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qmeeus/
whisper-small-multilingual-spoken-ner-end2end-lora

Name: whisper-small-multilingual-spoken-ner-end2end-lora
Availability: InStock

peft

safetensors

whisper

generated_from_trainer

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WhisperForSpokenNER-end2end

This model is a fine-tuned version of openai/whisper-small on the facebook/voxpopuli de+es+fr+nl dataset. It achieves the following results on the evaluation set:

Loss: 0.3381
Wer: 0.3889

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: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.3436	0.36	200	1.8791	0.8871
1.1682	0.71	400	1.0307	0.5048
0.7321	1.07	600	0.6300	0.3665
0.4564	1.43	800	0.4381	0.3515
0.4095	1.79	1000	0.4027	0.3330
0.3813	2.14	1200	0.3847	0.3360
0.3667	2.5	1400	0.3734	0.3392
0.3583	2.86	1600	0.3649	0.3490
0.3454	3.22	1800	0.3588	0.3572
0.3422	3.57	2000	0.3537	0.3705
0.3371	3.93	2200	0.3503	0.3811
0.3291	4.29	2400	0.3475	0.3678
0.324	4.65	2600	0.3451	0.3670
0.3262	5.0	2800	0.3431	0.3710
0.3168	5.36	3000	0.3419	0.3847
0.3178	5.72	3200	0.3406	0.3833
0.3136	6.08	3400	0.3400	0.3853
0.3092	6.43	3600	0.3393	0.3896
0.3106	6.79	3800	0.3389	0.3900
0.3057	7.15	4000	0.3388	0.3803
0.3087	7.51	4200	0.3383	0.3941
0.308	7.86	4400	0.3382	0.3874
0.3036	8.22	4600	0.3381	0.3896
0.3087	8.58	4800	0.3380	0.3910
0.3079	8.94	5000	0.3381	0.3889

Framework versions

PEFT 0.7.1.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1

qmeeus/whisper-small-multilingual-spoken-ner-end2end-lora

WhisperForSpokenNER-end2end

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

qmeeus/
whisper-small-multilingual-spoken-ner-end2end-lora