whisper-base-es-improved-2 – AI Model by Potatoasdasdasdasda | AlphaNeural AI

You can deploy this model and start earning money today!

Potatoasdasdasdasda/
whisper-base-es-improved-2

like

0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_11_0

openai/whisper-base

endpoints_compatible

Views

No views yet

Whisper base Spanish Improved

This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3238
Wer: 20.4359

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-06
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: 500
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3177	0.12	1000	0.3974	23.5886
0.294	0.25	2000	0.3681	22.2548
0.3409	0.38	3000	0.3512	21.6964
0.26	0.5	4000	0.3407	21.2621
0.3503	0.62	5000	0.3345	20.8259
0.3067	0.75	6000	0.3297	20.5207
0.2324	0.88	7000	0.3243	20.4956
0.3413	1.0	8000	0.3238	20.4359

Framework versions

Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0