Instructions to use Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-500/trainer_state.json from Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP: direct link, hf CLI and curl.
- Browser
- Download file 1.68 kB
-
https://huggingface.co/Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP/resolve/main/checkpoint-500/trainer_state.json
- Command line
-
hf download hf://Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP/checkpoint-500/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Colin1337X/broken-tutu-24b-unslop-v2.0-lora-limaRP/resolve/main/checkpoint-500/trainer_state.json
1.68 kB
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.0017359498727114757, | |
| "eval_steps": 500, | |
| "global_step": 500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.00034718997454229514, | |
| "grad_norm": 0.8856930732727051, | |
| "learning_rate": 0.00019999994169931, | |
| "loss": 2.4069, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.0006943799490845903, | |
| "grad_norm": 0.8890424966812134, | |
| "learning_rate": 0.0001999997644357777, | |
| "loss": 2.3882, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.0010415699236268853, | |
| "grad_norm": 0.8619076013565063, | |
| "learning_rate": 0.00019999946820366553, | |
| "loss": 2.4208, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.0013887598981691806, | |
| "grad_norm": 0.8981874585151672, | |
| "learning_rate": 0.00019999905300332595, | |
| "loss": 2.3859, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.0017359498727114757, | |
| "grad_norm": 1.1088451147079468, | |
| "learning_rate": 0.0001999985188352529, | |
| "loss": 2.4031, | |
| "step": 500 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 288027, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.3740660968730624e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |