Transformers
PyTorch
German
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Einmalumdiewelt/T5-Base_GNAD_MaxSamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Einmalumdiewelt/T5-Base_GNAD_MaxSamples with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Einmalumdiewelt/T5-Base_GNAD_MaxSamples") model = AutoModelForSeq2SeqLM.from_pretrained("Einmalumdiewelt/T5-Base_GNAD_MaxSamples") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "eval_gen_len": 54.48733333333333, | |
| "eval_loss": 2.0228171348571777, | |
| "eval_rouge1": 28.4344, | |
| "eval_rouge2": 9.3461, | |
| "eval_rougeL": 19.7157, | |
| "eval_rougeLsum": 24.6508, | |
| "eval_runtime": 254.6251, | |
| "eval_samples": 1500, | |
| "eval_samples_per_second": 5.891, | |
| "eval_steps_per_second": 0.738 | |
| } |