Transformers
PyTorch
English
Romanian
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use Lucapro/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lucapro/test-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lucapro/test-model") model = AutoModelForSeq2SeqLM.from_pretrained("Lucapro/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "global_step": 420, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 5.0, | |
| "step": 420, | |
| "total_flos": 31345372692480.0, | |
| "train_loss": 0.8171643938337053, | |
| "train_runtime": 1458.3209, | |
| "train_samples_per_second": 3.429, | |
| "train_steps_per_second": 0.288 | |
| } | |
| ], | |
| "max_steps": 420, | |
| "num_train_epochs": 5, | |
| "total_flos": 31345372692480.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |