Instructions to use filipesantoscv11/8a5160ca-5567-40d3-8bdd-ba6c4d21c471 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/8a5160ca-5567-40d3-8bdd-ba6c4d21c471 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/8a5160ca-5567-40d3-8bdd-ba6c4d21c471") - Notebooks
- Google Colab
- Kaggle
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| "best_metric": NaN, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-10", | |
| "epoch": 0.02041858090862685, | |
| "eval_steps": 5, | |
| "global_step": 10, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "eval_runtime": 6.9884, | |
| "eval_samples_per_second": 59.098, | |
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| "step": 1 | |
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| "eval_steps_per_second": 15.88, | |
| "step": 5 | |
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| "learning_rate": 0.0001992114701314478, | |
| "loss": 0.0, | |
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| { | |
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| { | |
| "epoch": 0.02041858090862685, | |
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| "logging_steps": 3, | |
| "max_steps": 30, | |
| "num_input_tokens_seen": 0, | |
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| "save_steps": 10, | |
| "stateful_callbacks": { | |
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| "total_flos": 1029368772034560.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |