Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use paulh27/xsum_aligned_smallT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 30.77, | |
| "eval_gen_len": 27.92, | |
| "eval_loss": 2.5258138179779053, | |
| "eval_rouge1": 28.6381, | |
| "eval_rouge2": 7.1512, | |
| "eval_rougeL": 21.3477, | |
| "eval_rougeLsum": 21.2928, | |
| "eval_runtime": 34.7229, | |
| "eval_samples": 100, | |
| "eval_samples_per_second": 2.88, | |
| "eval_steps_per_second": 2.88 | |
| } |