Simonom/uzbek-stt-v2-3k-data
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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 common_voice_14_0 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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- PEFT 0.11.2.dev0
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- Transformers 4.42.0.dev0
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- Pytorch 2.
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- Datasets 2.19.1
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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: 0.6899
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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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| 0.8857 | 1.0 | 189 | 0.7888 |
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| 0.5781 | 2.0 | 378 | 0.6899 |
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### Framework versions
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- PEFT 0.11.2.dev0
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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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"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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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha":
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"lora_dropout": 0.05,
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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":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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"task_type": null,
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"use_dora": false,
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "PeftModel",
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"parent_library": "peft.peft_model"
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},
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"base_model_name_or_path": null,
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": false,
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adapter_model.safetensors
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runs/May30_06-34-15_acbe26610649/events.out.tfevents.1717050858.acbe26610649.873.0
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training_args.bin
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