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Sonal0205
/
whisper-medium-te

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Telugu
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
Sonal0205 commited on
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  1. README.md +12 -12
README.md CHANGED
@@ -7,34 +7,34 @@ tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
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  datasets:
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- - Sonal0205/telugu_asr
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Medium te - telugu
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  name: Telugu ASR
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- type: Sonal0205/telugu_asr
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  args: 'config: te, split: test'
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  metrics:
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  - name: Wer
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  type: wer
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- value: 39.00118906064209
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Whisper Medium te - telugu
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Telugu ASR dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1044
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- - Wer: 39.0012
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  ## Model description
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@@ -66,15 +66,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.0415 | 2.1142 | 1000 | 0.0918 | 57.5208 |
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- | 0.0104 | 4.2283 | 2000 | 0.0984 | 38.3769 |
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- | 0.0023 | 6.3425 | 3000 | 0.1018 | 31.8074 |
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- | 0.0001 | 8.4567 | 4000 | 0.1044 | 39.0012 |
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  ### Framework versions
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  - Transformers 4.42.0.dev0
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- - Pytorch 2.4.0.dev20240527+cu118
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  - hf-asr-leaderboard
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  - generated_from_trainer
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  datasets:
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+ - Sonal0205/telugu_asr_recent
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Medium te - telugu new
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  name: Telugu ASR
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+ type: Sonal0205/telugu_asr_recent
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  args: 'config: te, split: test'
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 23.513674197384066
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Medium te - telugu new
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Telugu ASR dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0925
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+ - Wer: 23.5137
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0452 | 1.0582 | 1000 | 0.0992 | 42.1522 |
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+ | 0.0148 | 2.1164 | 2000 | 0.0884 | 27.2889 |
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+ | 0.0065 | 3.1746 | 3000 | 0.0924 | 24.7919 |
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+ | 0.0013 | 4.2328 | 4000 | 0.0925 | 23.5137 |
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  ### Framework versions
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  - Transformers 4.42.0.dev0
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+ - Pytorch 2.4.0.dev20240606+cu118
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1