Instructions to use aleegis/f2d32988-6039-4631-a6d2-23550fc997a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/f2d32988-6039-4631-a6d2-23550fc997a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "aleegis/f2d32988-6039-4631-a6d2-23550fc997a5") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2, checkpoint
Browse files
last-checkpoint/optimizer.pt
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size 671473298
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last-checkpoint/rng_state.pth
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size 14244
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last-checkpoint/scheduler.pt
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size 1064
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size 1064
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last-checkpoint/trainer_state.json
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{
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"best_metric": null,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"learning_rate": 6.861468292009727e-05,
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"loss": 0.0,
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"step": 630
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],
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