Instructions to use chchen/Llama-3.1-8B-Instruct-PsyCourse-fold10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Llama-3.1-8B-Instruct-PsyCourse-fold10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "chchen/Llama-3.1-8B-Instruct-PsyCourse-fold10") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1750
Browse files- adapter_model.safetensors +1 -1
- trainer_log.jsonl +6 -0
adapter_model.safetensors
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trainer_log.jsonl
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{"current_steps": 1690, "total_steps": 3245, "loss": 0.0172, "lr": 5.5101574184364056e-05, "epoch": 2.601250601250601, "percentage": 52.08, "elapsed_time": "5:05:39", "remaining_time": "4:41:14"}
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{"current_steps": 1700, "total_steps": 3245, "loss": 0.0264, "lr": 5.4566152739103116e-05, "epoch": 2.6166426166426167, "percentage": 52.39, "elapsed_time": "5:06:56", "remaining_time": "4:38:57"}
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{"current_steps": 1700, "total_steps": 3245, "eval_loss": 0.03493504226207733, "epoch": 2.6166426166426167, "percentage": 52.39, "elapsed_time": "5:09:33", "remaining_time": "4:41:20"}
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{"current_steps": 1690, "total_steps": 3245, "loss": 0.0172, "lr": 5.5101574184364056e-05, "epoch": 2.601250601250601, "percentage": 52.08, "elapsed_time": "5:05:39", "remaining_time": "4:41:14"}
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{"current_steps": 1700, "total_steps": 3245, "loss": 0.0264, "lr": 5.4566152739103116e-05, "epoch": 2.6166426166426167, "percentage": 52.39, "elapsed_time": "5:06:56", "remaining_time": "4:38:57"}
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{"current_steps": 1700, "total_steps": 3245, "eval_loss": 0.03493504226207733, "epoch": 2.6166426166426167, "percentage": 52.39, "elapsed_time": "5:09:33", "remaining_time": "4:41:20"}
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{"current_steps": 1710, "total_steps": 3245, "loss": 0.0194, "lr": 5.403020275088786e-05, "epoch": 2.632034632034632, "percentage": 52.7, "elapsed_time": "5:10:55", "remaining_time": "4:39:05"}
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{"current_steps": 1720, "total_steps": 3245, "loss": 0.023, "lr": 5.349378625719408e-05, "epoch": 2.6474266474266477, "percentage": 53.0, "elapsed_time": "5:12:12", "remaining_time": "4:36:48"}
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{"current_steps": 1730, "total_steps": 3245, "loss": 0.0276, "lr": 5.2956965349496743e-05, "epoch": 2.6628186628186628, "percentage": 53.31, "elapsed_time": "5:13:28", "remaining_time": "4:34:31"}
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{"current_steps": 1740, "total_steps": 3245, "loss": 0.0216, "lr": 5.241980216608261e-05, "epoch": 2.6782106782106783, "percentage": 53.62, "elapsed_time": "5:14:46", "remaining_time": "4:32:15"}
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{"current_steps": 1750, "total_steps": 3245, "loss": 0.0192, "lr": 5.188235888485773e-05, "epoch": 2.6936026936026938, "percentage": 53.93, "elapsed_time": "5:16:03", "remaining_time": "4:29:59"}
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{"current_steps": 1750, "total_steps": 3245, "eval_loss": 0.03474767878651619, "epoch": 2.6936026936026938, "percentage": 53.93, "elapsed_time": "5:18:39", "remaining_time": "4:32:13"}
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