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amharic_gemma_sum_lora_unnormalized

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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: gemma
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+ base_model: google/gemma-3-4b-it
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: amharic_gemma_sum_lora_unnormalized
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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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+ # amharic_gemma_sum_lora_unnormalized
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+
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+ This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2929
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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: 0.0001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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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 |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.4819 | 0.4913 | 400 | 1.4782 |
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+ | 1.3682 | 0.9826 | 800 | 1.3819 |
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+ | 1.3156 | 1.4729 | 1200 | 1.3339 |
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+ | 1.2903 | 1.9642 | 1600 | 1.3070 |
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+ | 1.2447 | 2.4544 | 2000 | 1.2958 |
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+ | 1.2669 | 2.9457 | 2400 | 1.2929 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.1.dev0
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+ - Transformers 4.57.1
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.22.1
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