Instructions to use stonesstones/vae_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stonesstones/vae_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="stonesstones/vae_test", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stonesstones/vae_test", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from stonesstones/vae_test: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/stonesstones/vae_test/resolve/main/trainer_state.json
- Command line
-
hf download hf://stonesstones/vae_test/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/stonesstones/vae_test/resolve/main/trainer_state.json
1.46 kB
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.1875, | |
| "eval_steps": 1, | |
| "global_step": 3, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0625, | |
| "grad_norm": 6.13511848449707, | |
| "learning_rate": 0.0, | |
| "loss": 1.3392, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.125, | |
| "grad_norm": 6.1215314865112305, | |
| "learning_rate": 2.0000000000000002e-07, | |
| "loss": 1.3493, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.1875, | |
| "grad_norm": 6.143799781799316, | |
| "learning_rate": 4.0000000000000003e-07, | |
| "loss": 1.3478, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.1875, | |
| "step": 3, | |
| "total_flos": 221467993178112.0, | |
| "train_loss": 0.4492587248484294, | |
| "train_runtime": 35.9777, | |
| "train_samples_per_second": 5.692, | |
| "train_steps_per_second": 0.056 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 2, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 1, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 221467993178112.0, | |
| "train_batch_size": 128, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |