Instructions to use chchen/Llama-3.1-8B-Instruct-PsyCourse-fold7 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-fold7 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-fold7") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1700
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": 1640, "total_steps": 3270, "loss": 0.0258, "lr": 5.841947089749783e-05, "epoch": 2.5057295645530937, "percentage": 50.15, "elapsed_time": "4:52:54", "remaining_time": "4:51:07"}
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{"current_steps": 1650, "total_steps": 3270, "loss": 0.0244, "lr": 5.78928828677177e-05, "epoch": 2.5210084033613445, "percentage": 50.46, "elapsed_time": "4:54:10", "remaining_time": "4:48:49"}
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{"current_steps": 1650, "total_steps": 3270, "eval_loss": 0.03445274755358696, "epoch": 2.5210084033613445, "percentage": 50.46, "elapsed_time": "4:56:45", "remaining_time": "4:51:21"}
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{"current_steps": 1640, "total_steps": 3270, "loss": 0.0258, "lr": 5.841947089749783e-05, "epoch": 2.5057295645530937, "percentage": 50.15, "elapsed_time": "4:52:54", "remaining_time": "4:51:07"}
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{"current_steps": 1650, "total_steps": 3270, "loss": 0.0244, "lr": 5.78928828677177e-05, "epoch": 2.5210084033613445, "percentage": 50.46, "elapsed_time": "4:54:10", "remaining_time": "4:48:49"}
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{"current_steps": 1650, "total_steps": 3270, "eval_loss": 0.03445274755358696, "epoch": 2.5210084033613445, "percentage": 50.46, "elapsed_time": "4:56:45", "remaining_time": "4:51:21"}
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{"current_steps": 1660, "total_steps": 3270, "loss": 0.0207, "lr": 5.7365395442345085e-05, "epoch": 2.5362872421695952, "percentage": 50.76, "elapsed_time": "4:58:06", "remaining_time": "4:49:07"}
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{"current_steps": 1670, "total_steps": 3270, "loss": 0.0195, "lr": 5.683706872867833e-05, "epoch": 2.5515660809778455, "percentage": 51.07, "elapsed_time": "4:59:21", "remaining_time": "4:46:49"}
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{"current_steps": 1680, "total_steps": 3270, "loss": 0.0311, "lr": 5.630796292965288e-05, "epoch": 2.5668449197860963, "percentage": 51.38, "elapsed_time": "5:00:37", "remaining_time": "4:44:31"}
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{"current_steps": 1690, "total_steps": 3270, "loss": 0.0266, "lr": 5.57781383369811e-05, "epoch": 2.5821237585943466, "percentage": 51.68, "elapsed_time": "5:01:53", "remaining_time": "4:42:14"}
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{"current_steps": 1700, "total_steps": 3270, "loss": 0.0199, "lr": 5.524765532428203e-05, "epoch": 2.5974025974025974, "percentage": 51.99, "elapsed_time": "5:03:09", "remaining_time": "4:39:58"}
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{"current_steps": 1700, "total_steps": 3270, "eval_loss": 0.035529833287000656, "epoch": 2.5974025974025974, "percentage": 51.99, "elapsed_time": "5:05:44", "remaining_time": "4:42:21"}
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