Jaafarulloh
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Jaafarulloh/1223-data
Browse files- README.md +5 -5
- adapter_config.json +3 -3
- adapter_model.safetensors +2 -2
- runs/Aug29_13-04-36_236aaffc19fe/events.out.tfevents.1724936686.236aaffc19fe.223.3 +3 -0
- runs/Aug29_13-05-12_236aaffc19fe/events.out.tfevents.1724936737.236aaffc19fe.223.4 +3 -0
- runs/Aug29_13-09-39_236aaffc19fe/events.out.tfevents.1724936985.236aaffc19fe.14751.0 +3 -0
- training_args.bin +1 -1
README.md
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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 audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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| 0.
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### Framework versions
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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 audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0204
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 2
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- eval_batch_size: 2
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1154 | 1.0 | 365 | 0.0772 |
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| 0.0486 | 2.0 | 730 | 0.0204 |
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### Framework versions
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "
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"parent_library": "
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},
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"base_model_name_or_path":
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v2",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.safetensors
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runs/Aug29_13-04-36_236aaffc19fe/events.out.tfevents.1724936686.236aaffc19fe.223.3
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runs/Aug29_13-09-39_236aaffc19fe/events.out.tfevents.1724936985.236aaffc19fe.14751.0
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training_args.bin
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