whisper-small-armenian

Chillarmo/whisper-small-armenian

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

This model is a fine-tuned version of OpenAI's Whisper-small on the Common Voice 20 Armenian dataset for automatic speech recognition.

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Aug 11, 2025
Updated: Aug 14, 2025
SHA: e2abe5e6

Base models

openai/whisper-small

Datasets

Chillarmo/common_voice_20_armenian

Model card

From the Hugging Face model README

Whisper-Small Fine-tuned for Armenian ASR

This model is a fine-tuned version of OpenAI's Whisper-small on the Common Voice 20 Armenian dataset for automatic speech recognition.

Training Results

The model was trained for 5.34 epochs with the following final results:

Metric	Value
Training Loss	0.101
Training Runtime	59,610 seconds (≈16.56 hours)
Training Samples/Second	1.34
Training Steps/Second	0.084
Total Training Steps	5,000
Epochs	5.34

Evaluation Results

Metric	Value
Evaluation Loss	0.165
Word Error Rate (WER)	29.43%
Character Error Rate (CER)	5.89%
Exact Match	20.05%
Average Prediction Length	7.71 tokens
Average Label Length	7.77 tokens
Length Ratio	0.992
Evaluation Runtime	9,486 seconds (≈2.63 hours)
Evaluation Samples/Second	0.62
Evaluation Steps/Second	0.077

Model Details

Base Model: openai/whisper-small
Language: Armenian (hy)
Dataset: Chillarmo/common_voice_20_armenian
License: Apache 2.0

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Languages: hy
Created: Aug 11, 2025
Updated: Aug 14, 2025