End of training
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README.md
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license: apache-2.0
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base_model: openai/whisper-tiny.en
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tags:
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-
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- generated_from_trainer
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datasets:
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-
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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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- 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:
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type:
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config:
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split: test
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args: 'split: test'
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metrics:
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- name: Wer
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type: wer
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value:
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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-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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@@ -61,20 +59,22 @@ The following hyperparameters were used during training:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.
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- Tokenizers 0.
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license: apache-2.0
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base_model: openai/whisper-tiny.en
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- eai6/bungoma_training
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metrics:
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- wer
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model-index:
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- name: Whisper tiny
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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: Nyansapo AI Dataset
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type: eai6/bungoma_training
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args: 'config: en, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 152.94117647058823
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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 tiny
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the Nyansapo AI Dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4537
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- Wer: 152.9412
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 250
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3783 | 13.89 | 250 | 0.6768 | 80.6228 |
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| 0.0434 | 27.78 | 500 | 0.4529 | 92.3875 |
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| 0.0395 | 41.67 | 750 | 0.4625 | 73.3564 |
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| 0.036 | 55.56 | 1000 | 0.4537 | 152.9412 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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]
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],
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"is_multilingual": false,
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-
"max_initial_timestamp_index":
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"max_length": 448,
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"no_timestamps_token_id": 50362,
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"pad_token_id": 50256,
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"return_timestamps": false,
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"suppress_tokens": [
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1,
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50360,
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50361
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"transformers_version": "4.
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}
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]
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],
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"is_multilingual": false,
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"max_initial_timestamp_index": 50,
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"max_length": 448,
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"no_timestamps_token_id": 50362,
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"pad_token_id": 50256,
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"prev_sot_token_id": 50360,
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"return_timestamps": false,
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"suppress_tokens": [
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1,
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50360,
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50361
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],
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"transformers_version": "4.39.1"
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}
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model.safetensors
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runs/Mar23_16-21-54_Edwards-MacBook-Pro-2.local/events.out.tfevents.1711225316.Edwards-MacBook-Pro-2.local.80784.1
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