Instructions to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored") model = PeftModel.from_pretrained(base_model, "adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 26, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"global_step":
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"is_world_process_zero": true,
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"eval_samples_per_second": 26.67,
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"eval_steps_per_second": 13.335,
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"step": 13
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"logging_steps": 10,
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"total_flos":
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"train_batch_size": 2,
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"is_world_process_zero": true,
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"eval_samples_per_second": 26.67,
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"step": 13
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{
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"grad_norm": 0.6774999499320984,
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"learning_rate": 8.535533905932738e-05,
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"loss": 0.5548,
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"step": 20
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{
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"epoch": 0.07957153787299158,
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"eval_loss": 0.45831599831581116,
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"eval_runtime": 5.1833,
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"eval_samples_per_second": 26.624,
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"eval_steps_per_second": 13.312,
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"step": 26
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"logging_steps": 10,
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"attributes": {}
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"train_batch_size": 2,
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