Model save
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- training_args.bin +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: results
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# results
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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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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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### Training results
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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: results
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# results
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 2
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### Framework versions
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 4920
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