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Simonom/uzbek-stt-v2-3k-data

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README.md CHANGED
@@ -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: 0.7569
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  ## Model description
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@@ -38,8 +38,8 @@ More information needed
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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
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.9643 | 1.0 | 1209 | 0.8721 |
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- | 0.5618 | 2.0 | 2418 | 0.7569 |
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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 2.2.1+cu121
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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
adapter_config.json CHANGED
@@ -1,10 +1,10 @@
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  {
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  "alpha_pattern": {},
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- "base_model_class": "WhisperForConditionalGeneration",
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  },
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  "bias": "none",
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