Uploaded after manual correction in README
Browse files- README.md +21 -4
- train_results.json +8 -0
- trainer_state.json +718 -0
README.md
CHANGED
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@@ -1,21 +1,38 @@
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---
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license: apache-2.0
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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-
- name:
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-
results:
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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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-
#
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-
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.3389
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- Wer: 0.2186
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---
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+
language:
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+
- hi
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license: apache-2.0
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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+
datasets:
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+
- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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+
- name: Whisper Large v2 Custom Hi - Nikhil Bhargava
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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: mozilla-foundation/common_voice_11_0 hi
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type: mozilla-foundation/common_voice_11_0
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config: hi
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split: test
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args: 'config: hi, split: test'
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metrics:
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- name: Wer
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type: wer
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+
value: 0.21857275882502328
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---
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| 29 |
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| 30 |
<!-- 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 Large v2 Custom Hi - Nikhil Bhargava
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+
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 hi dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3389
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- Wer: 0.2186
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 24.45,
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+
"train_loss": 0.016903733740281313,
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+
"train_runtime": 68439.6404,
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+
"train_samples": 6540,
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+
"train_samples_per_second": 2.338,
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+
"train_steps_per_second": 0.073
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+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,718 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
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