Instructions to use chchen/Qwen2.5-7B-Instruct-PsyCourse-doc-fold6 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-fold6 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-fold6") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 90
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": 79, "total_steps": 125, "loss": 0.116, "lr": 3.6158224428757535e-05, "epoch": 3.1209876543209876, "percentage": 63.2, "elapsed_time": "0:35:47", "remaining_time": "0:20:50"}
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{"current_steps": 80, "total_steps": 125, "loss": 0.0793, "lr": 3.4816162744519263e-05, "epoch": 3.1604938271604937, "percentage": 64.0, "elapsed_time": "0:36:09", "remaining_time": "0:20:20"}
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{"current_steps": 80, "total_steps": 125, "eval_loss": 0.05813055485486984, "epoch": 3.1604938271604937, "percentage": 64.0, "elapsed_time": "0:36:30", "remaining_time": "0:20:32"}
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{"current_steps": 79, "total_steps": 125, "loss": 0.116, "lr": 3.6158224428757535e-05, "epoch": 3.1209876543209876, "percentage": 63.2, "elapsed_time": "0:35:47", "remaining_time": "0:20:50"}
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{"current_steps": 80, "total_steps": 125, "loss": 0.0793, "lr": 3.4816162744519263e-05, "epoch": 3.1604938271604937, "percentage": 64.0, "elapsed_time": "0:36:09", "remaining_time": "0:20:20"}
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{"current_steps": 80, "total_steps": 125, "eval_loss": 0.05813055485486984, "epoch": 3.1604938271604937, "percentage": 64.0, "elapsed_time": "0:36:30", "remaining_time": "0:20:32"}
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{"current_steps": 81, "total_steps": 125, "loss": 0.0768, "lr": 3.3486046902241664e-05, "epoch": 3.2, "percentage": 64.8, "elapsed_time": "0:36:58", "remaining_time": "0:20:05"}
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{"current_steps": 82, "total_steps": 125, "loss": 0.0763, "lr": 3.216892336688435e-05, "epoch": 3.2395061728395063, "percentage": 65.6, "elapsed_time": "0:37:24", "remaining_time": "0:19:37"}
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{"current_steps": 83, "total_steps": 125, "loss": 0.0961, "lr": 3.086582838174551e-05, "epoch": 3.2790123456790123, "percentage": 66.4, "elapsed_time": "0:37:47", "remaining_time": "0:19:07"}
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{"current_steps": 84, "total_steps": 125, "loss": 0.1285, "lr": 2.9577787153200197e-05, "epoch": 3.3185185185185184, "percentage": 67.2, "elapsed_time": "0:38:12", "remaining_time": "0:18:38"}
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{"current_steps": 85, "total_steps": 125, "loss": 0.0676, "lr": 2.8305813044122097e-05, "epoch": 3.3580246913580245, "percentage": 68.0, "elapsed_time": "0:38:36", "remaining_time": "0:18:10"}
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{"current_steps": 86, "total_steps": 125, "loss": 0.0605, "lr": 2.705090677662311e-05, "epoch": 3.397530864197531, "percentage": 68.8, "elapsed_time": "0:39:01", "remaining_time": "0:17:41"}
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{"current_steps": 87, "total_steps": 125, "loss": 0.0319, "lr": 2.581405564473801e-05, "epoch": 3.437037037037037, "percentage": 69.6, "elapsed_time": "0:39:28", "remaining_time": "0:17:14"}
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{"current_steps": 88, "total_steps": 125, "loss": 0.0616, "lr": 2.459623273767354e-05, "epoch": 3.476543209876543, "percentage": 70.4, "elapsed_time": "0:39:53", "remaining_time": "0:16:46"}
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{"current_steps": 89, "total_steps": 125, "loss": 0.0844, "lr": 2.3398396174233178e-05, "epoch": 3.5160493827160493, "percentage": 71.2, "elapsed_time": "0:40:20", "remaining_time": "0:16:19"}
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{"current_steps": 90, "total_steps": 125, "loss": 0.1098, "lr": 2.2221488349019903e-05, "epoch": 3.5555555555555554, "percentage": 72.0, "elapsed_time": "0:40:45", "remaining_time": "0:15:50"}
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{"current_steps": 90, "total_steps": 125, "eval_loss": 0.05778714269399643, "epoch": 3.5555555555555554, "percentage": 72.0, "elapsed_time": "0:41:06", "remaining_time": "0:15:59"}
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