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PasinduProjects
/
gemma-reasoning_final

PEFT
TensorBoard
Safetensors
trl
sft
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics

Instructions to use PasinduProjects/gemma-reasoning_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use PasinduProjects/gemma-reasoning_final with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it")
    model = PeftModel.from_pretrained(base_model, "PasinduProjects/gemma-reasoning_final")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-reasoning_final
47.4 MB
Ctrl+K
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  • 1 contributor
History: 20 commits
PasinduProjects's picture
PasinduProjects
Model save
bd3a1eb verified over 2 years ago
  • runs
    Training in progress, epoch 18 over 2 years ago
  • .gitattributes
    1.57 kB
    Training in progress, epoch 1 over 2 years ago
  • README.md
    1.16 kB
    Model save over 2 years ago
  • adapter_config.json
    644 Bytes
    Training in progress, epoch 1 over 2 years ago
  • adapter_model.safetensors
    25.7 MB
    xet
    Training in progress, epoch 18 over 2 years ago
  • events.out.tfevents.1712120750.c408b6fe4aac.4808.0
    88 Bytes
    xet
    Training in progress, epoch 1 over 2 years ago
  • special_tokens_map.json
    522 Bytes
    Training in progress, epoch 1 over 2 years ago
  • tokenizer.json
    17.5 MB
    xet
    Training in progress, epoch 1 over 2 years ago
  • tokenizer.model
    4.24 MB
    xet
    Training in progress, epoch 1 over 2 years ago
  • tokenizer_config.json
    2.16 kB
    Training in progress, epoch 1 over 2 years ago
  • training_args.bin

    Detected Pickle imports (9)

    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "torch.device",
    • "transformers.training_args.TrainingArguments",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.training_args.OptimizerNames",
    • "accelerate.state.PartialState"

    How to fix it?

    4.98 kB
    xet
    Training in progress, epoch 1 over 2 years ago