Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use peterbeamish/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterbeamish/trained_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterbeamish/trained_model") model = AutoModelForSeq2SeqLM.from_pretrained("peterbeamish/trained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.910614525139665, | |
| "eval_steps": 100, | |
| "global_step": 140, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.79, | |
| "eval_loss": 1.11872136592865, | |
| "eval_runtime": 575.3909, | |
| "eval_samples_per_second": 18.619, | |
| "eval_steps_per_second": 2.329, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "step": 140, | |
| "total_flos": 9.721424741872435e+16, | |
| "train_loss": 1.4935848781040737, | |
| "train_runtime": 4592.2554, | |
| "train_samples_per_second": 9.33, | |
| "train_steps_per_second": 0.03 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 140, | |
| "num_train_epochs": 4, | |
| "save_steps": 500, | |
| "total_flos": 9.721424741872435e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |