whisper-for-maltese

hannahbillo/whisper-for-maltese

whisper-for-maltese is a automatic speech recognition model from hannahbillo. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Jul 25, 2023
Updated: Jul 29, 2023
SHA: ee03edd6

Base models

openai/whisper-small

Model card

From the Hugging Face model README

whisper-for-maltese

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.3026
Wer: 120.5033

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: 500
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.2456	3.57	500	2.5059	99.2583
1.346	7.14	1000	2.4891	421.1391
0.7287	10.71	1500	2.7307	121.1921
0.3432	14.29	2000	2.9824	131.7086
0.2834	17.86	2500	3.1282	122.0397
0.2239	21.43	3000	3.2050	113.4040
0.1978	25.0	3500	3.2739	118.5695
0.1476	28.57	4000	3.3026	120.5033

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Jul 25, 2023
Updated: Jul 29, 2023