Instructions to use mamung/a68fc4d2-004a-4b95-8abd-402434667dd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mamung/a68fc4d2-004a-4b95-8abd-402434667dd3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-2-7b-chat") model = PeftModel.from_pretrained(base_model, "mamung/a68fc4d2-004a-4b95-8abd-402434667dd3") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100, checkpoint
Browse files
last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"global_step":
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 10.389,
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"eval_steps_per_second": 1.299,
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"step": 99
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"logging_steps": 5,
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"should_save": true,
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"should_training_stop":
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"train_batch_size": 8,
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{
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"epoch": 0.03205128205128205,
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"eval_steps": 9,
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"global_step": 100,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 10.389,
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"eval_steps_per_second": 1.299,
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"step": 99
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},
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{
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"grad_norm": NaN,
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"learning_rate": 0.0,
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"loss": 0.0,
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"step": 100
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"logging_steps": 5,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": true
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},
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"attributes": {}
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}
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"total_flos": 2.660991548522496e+17,
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"train_batch_size": 8,
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"trial_name": null,
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"trial_params": null
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