Commit
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452a9b9
1
Parent(s):
33d1954
Model save
Browse files- README.md +7 -7
- all_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +1925 -707
README.md
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---
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base_model: google/gemma-2-
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datasets:
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- generator
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library_name: peft
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- sft
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- generated_from_trainer
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model-index:
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- name: gemma-2-
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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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# gemma-2-
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This model is a fine-tuned version of [google/gemma-2-
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## Model description
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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- total_eval_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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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---
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base_model: google/gemma-2-2b-it
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datasets:
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- generator
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library_name: peft
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- sft
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- generated_from_trainer
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model-index:
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+
- name: gemma-2-2b-it-lora-magicoder
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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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+
# gemma-2-2b-it-lora-magicoder
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
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## Model description
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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all_results.json
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train_results.json
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