Instructions to use havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391: direct link, hf CLI and curl.
- Browser
- Download file 2.34 kB
-
https://huggingface.co/havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/havinash-ai/61a5ea63-24c3-44a9-be77-a2f139317391/resolve/main/last-checkpoint/trainer_state.json
2.34 kB
Invalid JSON:Unexpected token 'N', ..."al_loss": NaN,
"... is not valid JSON
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.018635855385762207, | |
| "eval_steps": 13, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0003727171077152441, | |
| "eval_loss": NaN, | |
| "eval_runtime": 42.0928, | |
| "eval_samples_per_second": 26.845, | |
| "eval_steps_per_second": 13.423, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.003727171077152441, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.00019396926207859084, | |
| "loss": 0.0, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.004845322400298174, | |
| "eval_loss": NaN, | |
| "eval_runtime": 41.104, | |
| "eval_samples_per_second": 27.491, | |
| "eval_steps_per_second": 13.746, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.007454342154304882, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 0.0, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.009690644800596348, | |
| "eval_loss": NaN, | |
| "eval_runtime": 41.1615, | |
| "eval_samples_per_second": 27.453, | |
| "eval_steps_per_second": 13.726, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.011181513231457324, | |
| "grad_norm": NaN, | |
| "learning_rate": 8.263518223330697e-05, | |
| "loss": 0.2226, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.014535967200894522, | |
| "eval_loss": NaN, | |
| "eval_runtime": 41.1646, | |
| "eval_samples_per_second": 27.451, | |
| "eval_steps_per_second": 13.725, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.014908684308609765, | |
| "grad_norm": NaN, | |
| "learning_rate": 2.339555568810221e-05, | |
| "loss": 0.8835, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.018635855385762207, | |
| "grad_norm": NaN, | |
| "learning_rate": 0.0, | |
| "loss": 0.0, | |
| "step": 50 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 50, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 13, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.0647468949635072e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |