Transformers
TensorBoard
Safetensors
German
English
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use paulh27/iwslt_aligned_smallT5_cont0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/iwslt_aligned_smallT5_cont0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/iwslt_aligned_smallT5_cont0") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/iwslt_aligned_smallT5_cont0") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 38.81, | |
| "eval_bleu": 65.6358, | |
| "eval_gen_len": 28.7691, | |
| "eval_loss": 0.5611980557441711, | |
| "eval_runtime": 99.4148, | |
| "eval_samples": 888, | |
| "eval_samples_per_second": 8.932, | |
| "eval_steps_per_second": 1.117, | |
| "train_loss": 0.40471466763305664, | |
| "train_runtime": 141171.7116, | |
| "train_samples": 206112, | |
| "train_samples_per_second": 56.669, | |
| "train_steps_per_second": 3.542 | |
| } |