Instructions to use chchen/Ministral-8B-Instruct-2410-PsyCourse-fold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Ministral-8B-Instruct-2410-PsyCourse-fold2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-8B-Instruct-2410") model = PeftModel.from_pretrained(base_model, "chchen/Ministral-8B-Instruct-2410-PsyCourse-fold2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3050
Browse files- adapter_model.safetensors +1 -1
- trainer_log.jsonl +6 -0
adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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trainer_log.jsonl
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{"current_steps": 2990, "total_steps": 3245, "loss": 0.0043, "lr": 1.869944153284786e-06, "epoch": 4.601769911504425, "percentage": 92.14, "elapsed_time": "10:20:52", "remaining_time": "0:52:57"}
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{"current_steps": 3000, "total_steps": 3245, "loss": 0.0034, "lr": 1.7269913415547456e-06, "epoch": 4.61716044632551, "percentage": 92.45, "elapsed_time": "10:22:20", "remaining_time": "0:50:49"}
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{"current_steps": 3000, "total_steps": 3245, "eval_loss": 0.04794705659151077, "epoch": 4.61716044632551, "percentage": 92.45, "elapsed_time": "10:25:22", "remaining_time": "0:51:04"}
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{"current_steps": 2990, "total_steps": 3245, "loss": 0.0043, "lr": 1.869944153284786e-06, "epoch": 4.601769911504425, "percentage": 92.14, "elapsed_time": "10:20:52", "remaining_time": "0:52:57"}
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{"current_steps": 3000, "total_steps": 3245, "loss": 0.0034, "lr": 1.7269913415547456e-06, "epoch": 4.61716044632551, "percentage": 92.45, "elapsed_time": "10:22:20", "remaining_time": "0:50:49"}
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{"current_steps": 3000, "total_steps": 3245, "eval_loss": 0.04794705659151077, "epoch": 4.61716044632551, "percentage": 92.45, "elapsed_time": "10:25:22", "remaining_time": "0:51:04"}
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{"current_steps": 3010, "total_steps": 3245, "loss": 0.0026, "lr": 1.589626244487069e-06, "epoch": 4.632550981146595, "percentage": 92.76, "elapsed_time": "10:26:54", "remaining_time": "0:48:56"}
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{"current_steps": 3020, "total_steps": 3245, "loss": 0.0031, "lr": 1.4578647624158726e-06, "epoch": 4.64794151596768, "percentage": 93.07, "elapsed_time": "10:28:21", "remaining_time": "0:46:48"}
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{"current_steps": 3030, "total_steps": 3245, "loss": 0.0051, "lr": 1.3317221470436293e-06, "epoch": 4.663332050788765, "percentage": 93.37, "elapsed_time": "10:29:48", "remaining_time": "0:44:41"}
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{"current_steps": 3040, "total_steps": 3245, "loss": 0.0036, "lr": 1.2112129996757315e-06, "epoch": 4.67872258560985, "percentage": 93.68, "elapsed_time": "10:31:16", "remaining_time": "0:42:34"}
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{"current_steps": 3050, "total_steps": 3245, "loss": 0.0037, "lr": 1.0963512695303546e-06, "epoch": 4.694113120430935, "percentage": 93.99, "elapsed_time": "10:32:43", "remaining_time": "0:40:27"}
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{"current_steps": 3050, "total_steps": 3245, "eval_loss": 0.048097576946020126, "epoch": 4.694113120430935, "percentage": 93.99, "elapsed_time": "10:35:46", "remaining_time": "0:40:38"}
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