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  1. README.md +58 -0
  2. generation_config.json +13 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: gemma
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+ base_model: google/gemma-3n-E4B-it
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: gemma-3n-E4B-transcribe-zh-tw-1
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+ results: []
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+ ---
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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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+ # gemma-3n-E4B-transcribe-zh-tw-1
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+
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+ This model is a fine-tuned version of [google/gemma-3n-E4B-it](https://huggingface.co/google/gemma-3n-E4B-it) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:---:|
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+ | No log | 0 | 0 | 8.2124 | 2.2923 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.53.0
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+ - Pytorch 2.8.0.dev20250319+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
generation_config.json ADDED
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+ {
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+ "bos_token_id": 2,
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+ "cache_implementation": "hybrid",
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 1,
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+ 106
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+ ],
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+ "pad_token_id": 0,
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+ "top_k": 64,
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+ "top_p": 0.95,
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+ "transformers_version": "4.53.0"
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+ }