Instructions to use tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "tuantmdev/628afe34-ea8c-4443-b5f7-a6e1af539965") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 160, 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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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.
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"eval_steps": 40,
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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": 45.766,
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"eval_steps_per_second": 22.888,
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"step": 120
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}
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"logging_steps": 40,
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"attributes": {}
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"total_flos":
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"train_batch_size": 2,
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"trial_name": null,
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"trial_params": null
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.05896172094523009,
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"eval_steps": 40,
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"global_step": 160,
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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": 45.766,
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"eval_steps_per_second": 22.888,
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"step": 120
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},
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{
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"epoch": 0.05896172094523009,
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"grad_norm": NaN,
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"learning_rate": 5.000000000000003e-06,
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"loss": 0.0,
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"step": 160
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{
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"epoch": 0.05896172094523009,
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"eval_loss": NaN,
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"eval_runtime": 98.8283,
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"eval_samples_per_second": 46.252,
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"eval_steps_per_second": 23.131,
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"step": 160
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}
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],
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"logging_steps": 40,
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"attributes": {}
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}
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},
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"total_flos": 7601633234780160.0,
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"train_batch_size": 2,
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"trial_name": null,
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"trial_params": null
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