Jendersen/t5-small-finetuned-bible-only-welsh-plus-br-kw
<a href="https://huggingface.co/spaces/Jendersen/huggingface-static-6b169d" target="blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a><a href="https://huggingface.co/spaces/Jendersen/huggingface-static-9bfbc3" target="blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a> <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
t5-small-finetuned-bible-only-welsh-plus-br-kw
This model is a fine-tuned version of Jendersen/t5-small-finetuned-bible-only-welsh-plus-br-kw on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2249
- Rouge1: 20.0505
- Rouge2: 8.3773
- Rougel: 18.6412
- Rougelsum: 18.7877
- Bleu: 0.0047
- Chrf++: 10.7391
- F1: 40.4696
- Gen Len: 18.9646
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- trainbatchsize: 16
- evalbatchsize: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- num_epochs: 6
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
