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
File size: 326 Bytes
c6337a6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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
} |