Samandards
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Samandards/uzbek-stt-vast-v2-3k-data
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README.md
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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 common_voice_14_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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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### Framework versions
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- PEFT 0.11.2.dev0
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- Transformers 4.
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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 common_voice_14_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8422
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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: 32
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- eval_batch_size: 32
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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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| No log | 1.0 | 4 | 4.3669 |
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| No log | 2.0 | 8 | 3.8422 |
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### Framework versions
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- PEFT 0.11.2.dev0
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- Transformers 4.43.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"inference_mode": true,
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{
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"base_model_class": "PeftModel",
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"bias": "none",
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"inference_mode": true,
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"layers_pattern": null,
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"loftq_config": {},
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"revision": null,
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"target_modules": [
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"q_proj",
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"task_type": null,
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adapter_model.safetensors
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training_args.bin
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