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

Loss: 0.4303
Wer: 9.2006

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: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 40000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0055	10.03	1000	0.2463	11.8425
0.003	20.05	2000	0.2638	11.3178
0.0018	30.08	3000	0.2837	10.9583
0.0009	40.1	4000	0.2768	10.4414
0.0008	50.13	5000	0.2880	10.1776
0.0012	60.15	6000	0.2903	10.0526
0.0002	70.18	7000	0.2909	9.8357
0.0013	80.2	8000	0.2766	9.9392
0.0001	90.23	9000	0.3110	9.3003
0.0	100.25	10000	0.3278	9.3315
0.0	110.28	11000	0.3393	9.3081
0.0	120.3	12000	0.3508	9.2993
0.0	130.33	13000	0.3617	9.3218
0.0	140.35	14000	0.3732	9.3354
0.0	150.38	15000	0.3849	9.3735
0.0	160.4	16000	0.3073	9.3335
0.0	170.43	17000	0.3320	9.3569
0.0	180.45	18000	0.3453	9.3022
0.0	190.48	19000	0.3561	9.3071
0.0	200.5	20000	0.3660	9.2983
0.0	210.53	21000	0.3755	9.2876
0.0	220.55	22000	0.3847	9.4976
0.0	230.58	23000	0.3940	9.5054
0.0	240.6	24000	0.4021	9.4703
0.0	250.63	25000	0.4126	9.4537
0.0	260.65	26000	0.3174	9.2758
0.0	270.68	27000	0.3444	9.2622
0.0	280.7	28000	0.3588	9.2084
0.0	290.73	29000	0.3698	9.3472
0.0	300.75	30000	0.3786	9.3423
0.0	310.78	31000	0.3868	9.3169
0.0	320.8	32000	0.3948	9.3286
0.0	330.83	33000	0.4018	9.3335
0.0	340.85	34000	0.4081	9.3286
0.0	350.88	35000	0.4138	9.3364
0.0	360.9	36000	0.4191	9.3432
0.0	370.93	37000	0.4234	9.3315
0.0	380.95	38000	0.4270	9.3403
0.0	390.98	39000	0.4294	9.2153
0.0	401.0	40000	0.4303	9.2006

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

zuazo/whisper-medium-eu-cv16_1

Whisper Medium Basque

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zuazo/
whisper-medium-eu-cv16_1