This model is a fine-tuned version of openai/whisper-medium on the xbilek25/train_set_1st_1000_de_en_de dataset. It achieves the following results on the evaluation set:

Loss: 0.2246
Wer: 19.7118

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: 16
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: 1
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0895	1.25	1000	0.2036	22.3976
0.0071	3.25	2000	0.2246	19.7118

Framework versions

Transformers 4.37.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.15.2

xbilek25/w-m-lang_en-set_en

model trenovan na en setu, nastaveni jazyka en

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xbilek25/
w-m-lang_en-set_en