Instructions to use chchen/Qwen2.5-7B-Instruct-PsyCourse-doc-fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/Qwen2.5-7B-Instruct-PsyCourse-doc-fold1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "chchen/Qwen2.5-7B-Instruct-PsyCourse-doc-fold1") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30
Browse files- adapter_model.safetensors +1 -1
- trainer_log.jsonl +9 -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": 20, "total_steps": 125, "eval_loss": 0.1240268424153328, "epoch": 0.7901234567901234, "percentage": 16.0, "elapsed_time": "0:09:15", "remaining_time": "0:48:38"}
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{"current_steps": 21, "total_steps": 125, "loss": 0.1466, "lr": 9.874639560909117e-05, "epoch": 0.8296296296296296, "percentage": 16.8, "elapsed_time": "0:09:47", "remaining_time": "0:48:31"}
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{"current_steps": 22, "total_steps": 125, "loss": 0.1138, "lr": 9.841517610611309e-05, "epoch": 0.8691358024691358, "percentage": 17.6, "elapsed_time": "0:10:12", "remaining_time": "0:47:45"}
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{"current_steps": 20, "total_steps": 125, "eval_loss": 0.1240268424153328, "epoch": 0.7901234567901234, "percentage": 16.0, "elapsed_time": "0:09:15", "remaining_time": "0:48:38"}
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{"current_steps": 21, "total_steps": 125, "loss": 0.1466, "lr": 9.874639560909117e-05, "epoch": 0.8296296296296296, "percentage": 16.8, "elapsed_time": "0:09:47", "remaining_time": "0:48:31"}
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{"current_steps": 22, "total_steps": 125, "loss": 0.1138, "lr": 9.841517610611309e-05, "epoch": 0.8691358024691358, "percentage": 17.6, "elapsed_time": "0:10:12", "remaining_time": "0:47:45"}
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{"current_steps": 23, "total_steps": 125, "loss": 0.1373, "lr": 9.804586609725499e-05, "epoch": 0.908641975308642, "percentage": 18.4, "elapsed_time": "0:10:39", "remaining_time": "0:47:14"}
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{"current_steps": 24, "total_steps": 125, "loss": 0.1276, "lr": 9.763875613614482e-05, "epoch": 0.9481481481481482, "percentage": 19.2, "elapsed_time": "0:11:04", "remaining_time": "0:46:37"}
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{"current_steps": 25, "total_steps": 125, "loss": 0.1381, "lr": 9.719416651541839e-05, "epoch": 0.9876543209876543, "percentage": 20.0, "elapsed_time": "0:11:28", "remaining_time": "0:45:54"}
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{"current_steps": 26, "total_steps": 125, "loss": 0.1968, "lr": 9.671244701472999e-05, "epoch": 1.0271604938271606, "percentage": 20.8, "elapsed_time": "0:11:52", "remaining_time": "0:45:12"}
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{"current_steps": 27, "total_steps": 125, "loss": 0.1182, "lr": 9.619397662556435e-05, "epoch": 1.0666666666666667, "percentage": 21.6, "elapsed_time": "0:12:17", "remaining_time": "0:44:36"}
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{"current_steps": 28, "total_steps": 125, "loss": 0.0827, "lr": 9.563916325306594e-05, "epoch": 1.106172839506173, "percentage": 22.4, "elapsed_time": "0:12:42", "remaining_time": "0:44:02"}
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{"current_steps": 29, "total_steps": 125, "loss": 0.1684, "lr": 9.504844339512095e-05, "epoch": 1.145679012345679, "percentage": 23.2, "elapsed_time": "0:13:09", "remaining_time": "0:43:32"}
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{"current_steps": 30, "total_steps": 125, "loss": 0.0822, "lr": 9.442228179894362e-05, "epoch": 1.1851851851851851, "percentage": 24.0, "elapsed_time": "0:13:35", "remaining_time": "0:43:01"}
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{"current_steps": 30, "total_steps": 125, "eval_loss": 0.09606810659170151, "epoch": 1.1851851851851851, "percentage": 24.0, "elapsed_time": "0:13:57", "remaining_time": "0:44:12"}
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