Instructions to use chchen/Qwen2.5-7B-Instruct-PsyCourse-doc-fold9 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-fold9 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-fold9") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 80
Browse files- adapter_model.safetensors +1 -1
- trainer_log.jsonl +11 -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": 69, "total_steps": 125, "loss": 0.1073, "lr": 5e-05, "epoch": 2.725925925925926, "percentage": 55.2, "elapsed_time": "0:30:16", "remaining_time": "0:24:34"}
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{"current_steps": 70, "total_steps": 125, "loss": 0.1069, "lr": 4.859768718620656e-05, "epoch": 2.765432098765432, "percentage": 56.0, "elapsed_time": "0:30:40", "remaining_time": "0:24:06"}
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{"current_steps": 70, "total_steps": 125, "eval_loss": 0.07204687595367432, "epoch": 2.765432098765432, "percentage": 56.0, "elapsed_time": "0:31:02", "remaining_time": "0:24:23"}
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{"current_steps": 69, "total_steps": 125, "loss": 0.1073, "lr": 5e-05, "epoch": 2.725925925925926, "percentage": 55.2, "elapsed_time": "0:30:16", "remaining_time": "0:24:34"}
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{"current_steps": 70, "total_steps": 125, "loss": 0.1069, "lr": 4.859768718620656e-05, "epoch": 2.765432098765432, "percentage": 56.0, "elapsed_time": "0:30:40", "remaining_time": "0:24:06"}
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{"current_steps": 70, "total_steps": 125, "eval_loss": 0.07204687595367432, "epoch": 2.765432098765432, "percentage": 56.0, "elapsed_time": "0:31:02", "remaining_time": "0:24:23"}
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{"current_steps": 71, "total_steps": 125, "loss": 0.0854, "lr": 4.7196477638140404e-05, "epoch": 2.8049382716049385, "percentage": 56.8, "elapsed_time": "0:31:30", "remaining_time": "0:23:57"}
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{"current_steps": 72, "total_steps": 125, "loss": 0.119, "lr": 4.579747375353763e-05, "epoch": 2.8444444444444446, "percentage": 57.6, "elapsed_time": "0:31:54", "remaining_time": "0:23:29"}
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{"current_steps": 73, "total_steps": 125, "loss": 0.1061, "lr": 4.4401776194834613e-05, "epoch": 2.8839506172839506, "percentage": 58.4, "elapsed_time": "0:32:17", "remaining_time": "0:23:00"}
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{"current_steps": 74, "total_steps": 125, "loss": 0.0643, "lr": 4.3010483023225045e-05, "epoch": 2.9234567901234567, "percentage": 59.2, "elapsed_time": "0:32:42", "remaining_time": "0:22:32"}
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{"current_steps": 75, "total_steps": 125, "loss": 0.0633, "lr": 4.162468883476319e-05, "epoch": 2.962962962962963, "percentage": 60.0, "elapsed_time": "0:33:05", "remaining_time": "0:22:03"}
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{"current_steps": 76, "total_steps": 125, "loss": 0.1492, "lr": 4.0245483899193595e-05, "epoch": 3.0024691358024693, "percentage": 60.8, "elapsed_time": "0:33:29", "remaining_time": "0:21:35"}
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{"current_steps": 77, "total_steps": 125, "loss": 0.0515, "lr": 3.887395330218429e-05, "epoch": 3.0419753086419754, "percentage": 61.6, "elapsed_time": "0:33:52", "remaining_time": "0:21:07"}
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{"current_steps": 78, "total_steps": 125, "loss": 0.1576, "lr": 3.7511176091638653e-05, "epoch": 3.0814814814814815, "percentage": 62.4, "elapsed_time": "0:34:17", "remaining_time": "0:20:39"}
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{"current_steps": 79, "total_steps": 125, "loss": 0.0509, "lr": 3.6158224428757535e-05, "epoch": 3.1209876543209876, "percentage": 63.2, "elapsed_time": "0:34:40", "remaining_time": "0:20:11"}
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{"current_steps": 80, "total_steps": 125, "loss": 0.1258, "lr": 3.4816162744519263e-05, "epoch": 3.1604938271604937, "percentage": 64.0, "elapsed_time": "0:35:03", "remaining_time": "0:19:43"}
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{"current_steps": 80, "total_steps": 125, "eval_loss": 0.07056884467601776, "epoch": 3.1604938271604937, "percentage": 64.0, "elapsed_time": "0:35:25", "remaining_time": "0:19:55"}
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