Migara Amarasinghe
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Browse files- README.md +4 -19
- adapter_model.safetensors +1 -1
README.md
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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base_model: google/gemma-2b
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model-index:
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- name: Gemma2B-LORAfied
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# Gemma2B-LORAfied
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on
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It achieves the following results on the evaluation set:
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- Loss: 2.1460
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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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- lr_scheduler_warmup_ratio: 0.05
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.8443 | 0.82 | 100 | 2.5332 |
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| 2.4577 | 1.64 | 200 | 2.3103 |
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| 2.275 | 2.46 | 300 | 2.2143 |
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| 2.2331 | 3.28 | 400 | 2.1686 |
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| 2.1737 | 4.1 | 500 | 2.1460 |
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### Framework versions
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- trl
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- sft
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- generated_from_trainer
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base_model: google/gemma-2b
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model-index:
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- name: Gemma2B-LORAfied
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# Gemma2B-LORAfied
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 1480
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 156926880
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