Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/t5-small-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/t5-small-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/t5-small-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/t5-small-coqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.07766503820618816, | |
| "eval_f1": 0.050057538932255674, | |
| "eval_loss": 1.0055056810379028, | |
| "eval_runtime": 127.6389, | |
| "eval_samples": 7983, | |
| "eval_samples_per_second": 62.544, | |
| "eval_steps_per_second": 1.959 | |
| } |