amharic_gemma_sum_lora_normalized

README.md

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+---
+library_name: peft
+license: gemma
+base_model: google/gemma-3-4b-it
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: amharic_gemma_sum_lora_normalized
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# amharic_gemma_sum_lora_normalized
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.2718
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4595        | 0.4913 | 400  | 1.4549          |
+| 1.3466        | 0.9826 | 800  | 1.3604          |
+| 1.2949        | 1.4729 | 1200 | 1.3128          |
+| 1.2699        | 1.9642 | 1600 | 1.2859          |
+| 1.224         | 2.4544 | 2000 | 1.2747          |
+| 1.2466        | 2.9457 | 2400 | 1.2718          |
+
+
+### Framework versions
+
+- PEFT 0.14.1.dev0
+- Transformers 4.57.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.22.1

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