README.md

metadata

language:
  - te
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - Sonal0205/telugu_asr_recent
metrics:
  - wer
model-index:
  - name: Whisper Medium te - telugu new
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Telugu ASR
          type: Sonal0205/telugu_asr_recent
          args: 'config: te, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 23.513674197384066

Whisper Medium te - telugu new

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

• Loss: 0.0925
• Wer: 23.5137

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
0.0452	1.0582	1000	0.0992	42.1522
0.0148	2.1164	2000	0.0884	27.2889
0.0065	3.1746	3000	0.0924	24.7919
0.0013	4.2328	4000	0.0925	23.5137

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.4.0.dev20240606+cu118
• Datasets 2.19.1
• Tokenizers 0.19.1