Instructions to use VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06: direct link, hf CLI and curl.
- Browser
- Download file 2.06 kB
-
https://huggingface.co/VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/VERSIL91/30297234-1be9-46ec-8e06-eef5d939ec06/resolve/main/last-checkpoint/trainer_state.json
2.06 kB
Invalid JSON:Unexpected token 'N', ..."ad_norm": NaN,
"... is not valid JSON
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.0008513989549077829, | |
| "eval_steps": 2, | |
| "global_step": 5, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.00017027979098155658, | |
| "grad_norm": NaN, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0, | |
| "step": 1 | |
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| "eval_loss": NaN, | |
| "eval_runtime": 331.6711, | |
| "eval_samples_per_second": 29.822, | |
| "eval_steps_per_second": 14.912, | |
| "step": 1 | |
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| "epoch": 0.00034055958196311316, | |
| "grad_norm": NaN, | |
| "learning_rate": 2e-05, | |
| "loss": 0.0, | |
| "step": 2 | |
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| "epoch": 0.00034055958196311316, | |
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| "eval_steps_per_second": 21.105, | |
| "step": 2 | |
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| { | |
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| "grad_norm": NaN, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.0006811191639262263, | |
| "grad_norm": NaN, | |
| "learning_rate": 4e-05, | |
| "loss": 0.0, | |
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| }, | |
| { | |
| "epoch": 0.0006811191639262263, | |
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| "eval_runtime": 234.5378, | |
| "eval_samples_per_second": 42.172, | |
| "eval_steps_per_second": 21.088, | |
| "step": 4 | |
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| { | |
| "epoch": 0.0008513989549077829, | |
| "grad_norm": NaN, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0, | |
| "step": 5 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 5, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 2, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
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| "attributes": {} | |
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| "total_flos": 3699128496291840.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |