Instructions to use cvoffer/548b4d7c-da77-44a9-b519-20a2dec076a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/548b4d7c-da77-44a9-b519-20a2dec076a3 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, "cvoffer/548b4d7c-da77-44a9-b519-20a2dec076a3") - Notebooks
- Google Colab
- Kaggle
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| "best_metric": NaN, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-10", | |
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| "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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| "step": 1 | |
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| "grad_norm": NaN, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0, | |
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| "eval_samples_per_second": 30.669, | |
| "eval_steps_per_second": 15.342, | |
| "step": 5 | |
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| { | |
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| "grad_norm": NaN, | |
| "learning_rate": 4.980286753286195e-05, | |
| "loss": 0.0, | |
| "step": 6 | |
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| { | |
| "epoch": 0.0016974726518294984, | |
| "grad_norm": NaN, | |
| "learning_rate": 4.690766700109659e-05, | |
| "loss": 0.0, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.001886080724254998, | |
| "eval_loss": NaN, | |
| "eval_runtime": 72.4819, | |
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| "step": 10 | |
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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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| "attributes": { | |
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| "TrainerControl": { | |
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| "attributes": {} | |
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| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |