Instructions to use souging/2616a8fa-c2ff-4794-bbf2-5320254f531b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/2616a8fa-c2ff-4794-bbf2-5320254f531b 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, "souging/2616a8fa-c2ff-4794-bbf2-5320254f531b") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1, checkpoint
Browse files- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/rng_state_2.pth +1 -1
- last-checkpoint/rng_state_3.pth +1 -1
- last-checkpoint/rng_state_4.pth +1 -1
- last-checkpoint/rng_state_5.pth +1 -1
- last-checkpoint/rng_state_6.pth +1 -1
- last-checkpoint/rng_state_7.pth +1 -1
- last-checkpoint/trainer_state.json +8 -0
last-checkpoint/rng_state_0.pth
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last-checkpoint/rng_state_1.pth
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last-checkpoint/rng_state_2.pth
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last-checkpoint/rng_state_3.pth
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last-checkpoint/rng_state_4.pth
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last-checkpoint/rng_state_5.pth
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last-checkpoint/rng_state_6.pth
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last-checkpoint/rng_state_7.pth
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last-checkpoint/trainer_state.json
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"learning_rate": 0.0,
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"loss": 0.5083,
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"step": 500
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],
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"logging_steps": 1,
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"learning_rate": 0.0,
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"loss": 0.5083,
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"step": 500
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{
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"epoch": 1.3714873200822482,
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"eval_loss": 0.6611576676368713,
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"eval_runtime": 27.3664,
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"eval_samples_per_second": 44.909,
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"eval_steps_per_second": 2.814,
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"step": 500
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"logging_steps": 1,
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