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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_normalized |
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results: [] |
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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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# amharic_gemma_sum_lora_normalized |
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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: 1.2718 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4595 | 0.4913 | 400 | 1.4549 | |
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| 1.3466 | 0.9826 | 800 | 1.3604 | |
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| 1.2949 | 1.4729 | 1200 | 1.3128 | |
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| 1.2699 | 1.9642 | 1600 | 1.2859 | |
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| 1.224 | 2.4544 | 2000 | 1.2747 | |
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| 1.2466 | 2.9457 | 2400 | 1.2718 | |
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### Framework versions |
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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 |
