Instructions to use VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f: direct link, hf CLI and curl.
- Browser
- Download file 2.19 kB
-
https://huggingface.co/VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/VERSIL91/d81c2d6b-ad6c-4d53-bfc2-00eaeaf1711f/resolve/main/last-checkpoint/trainer_state.json
2.19 kB
| { | |
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| "best_model_checkpoint": null, | |
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| "eval_steps": 2, | |
| "global_step": 5, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "grad_norm": 4.487054824829102, | |
| "learning_rate": 1e-05, | |
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| "step": 1 | |
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| "step": 1 | |
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| "grad_norm": 3.958220958709717, | |
| "learning_rate": 2e-05, | |
| "loss": 6.1541, | |
| "step": 2 | |
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| "eval_steps_per_second": 11.409, | |
| "step": 2 | |
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| { | |
| "epoch": 0.0007532011046949536, | |
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| "step": 3 | |
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| "step": 4 | |
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| "eval_steps_per_second": 11.359, | |
| "step": 4 | |
| }, | |
| { | |
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| "learning_rate": 5e-05, | |
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| } | |
| ], | |
| "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, | |
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| "should_log": false, | |
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| "attributes": {} | |
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| "total_flos": 7398256992583680.0, | |
| "train_batch_size": 2, | |
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| } | |