Instructions to use jacobmorrison/tk-instruct-base-lora-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacobmorrison/tk-instruct-base-lora-experiments with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jacobmorrison/tk-instruct-base-lora-experiments") model = AutoModelForSeq2SeqLM.from_pretrained("jacobmorrison/tk-instruct-base-lora-experiments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from jacobmorrison/tk-instruct-base-lora-experiments: direct link, hf CLI and curl.
- Browser
- Download file 601 Bytes
-
https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/00fded6c554266207b0905650e00a00a6a8635ca/trainer_state.json
- Command line
-
hf download hf://jacobmorrison/tk-instruct-base-lora-experiments@00fded6c554266207b0905650e00a00a6a8635ca/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/jacobmorrison/tk-instruct-base-lora-experiments/resolve/00fded6c554266207b0905650e00a00a6a8635ca/trainer_state.json
601 Bytes
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "global_step": 71918, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.0, | |
| "step": 71918, | |
| "total_flos": 6.6856333344768e+16, | |
| "train_loss": 1.1989145841444422, | |
| "train_runtime": 21897.1621, | |
| "train_samples_per_second": 6.569, | |
| "train_steps_per_second": 3.284 | |
| } | |
| ], | |
| "max_steps": 71918, | |
| "num_train_epochs": 2, | |
| "total_flos": 6.6856333344768e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |