 Models  TL;DR: [yhavinga/t5-v1.1-base-dutch-cased](https://huggingface.co/yhavinga/t5-v1.1-base-dutch-cased) is the best model.  * `yhavinga/t5-base-dutch` is a re-training of the Dutch T5 base v1.0 model trained during the summer 2021   Flax/Jax community week. Accuracy was improved from 0.64 to 0.70. * The two T5 v1.1 base models are an uncased and cased version of `t5-v1.1-base`, again pre-trained from scratch on Dutch,   with a tokenizer also trained from scratch. The t5 v1.1 models are slightly different from the t5 models, and the    base models are trained with a dropout of 0.0. For fine-tuning it is intended to set this back to 0.1. * The large cased model is a pre-trained Dutch version of `t5-v1.1-large`. Training of t5-v1.1-large proved difficult.    Without dropout regularization, the training would diverge at a certain point. With dropout training went better,   be it much slower than training the t5-model. At some point convergance was too slow to warrant further training.   The latest checkpoint, training scripts and metrics are available for reference. For actual fine-tuning the cased   base model is probably the better choice.  |                                                                                                   | model   | train seq len | acc      | loss     | batch size | epochs | steps   | dropout | optim     | lr   | duration | |---------------------------------------------------------------------------------------------------|---------|---------------|----------|----------|------------|--------|---------|---------|-----------|------|----------| | [yhavinga/t5-base-dutch](https://huggingface.co/yhavinga/t5-base-dutch)                           | T5      | 512           | 0,70     | 1,38     | 128        | 1      | 528481  | 0.1     | adafactor | 5e-3 | 2d 9h    | | [yhavinga/t5-v1.1-base-dutch-uncased](https://huggingface.co/yhavinga/t5-v1.1-base-dutch-uncased) | t5-v1.1 | 1024          | 0,73     | 1,20     | 64         | 2      | 1014525 | 0.0     | adafactor | 5e-3 | 5d 5h    | | [yhavinga/t5-v1.1-base-dutch-cased](https://huggingface.co/yhavinga/t5-v1.1-base-dutch-cased)     | t5-v1.1 | 1024          | **0,78** | **0,96** | 64         | 2      | 1210000 | 0.0     | adafactor | 5e-3 | 6d 6h    | | [yhavinga/t5-v1.1-large-dutch-cased](https://huggingface.co/yhavinga/t5-v1.1-large-dutch-cased)   | t5-v1.1 | 512           | 0,76     | 1,07     | 64         | 1      | 1120000 | 0.1     | adafactor | 5e-3 | 86 13h   |  The cased t5-v1.1 Dutch models were fine-tuned on summarizing the CNN Daily Mail dataset.  |                                                                                                       | model   | input len | target len | Rouge1 | Rouge2 | RougeL | RougeLsum | Test Gen Len | epochs | batch size | steps | duration | |-------------------------------------------------------------------------------------------------------|---------|-----------|------------|--------|--------|--------|-----------|--------------|--------|------------|-------|----------| | [yhavinga/t5-v1.1-base-dutch-cnn-test](https://huggingface.co/yhavinga/t5-v1.1-base-dutch-cnn-test)   | t5-v1.1 | 1024      | 96         | 34,8   | 13,6   | 25,2   | 32,1      | 79           | 6      | 64         | 26916 | 2h 40m   | | [yhavinga/t5-v1.1-large-dutch-cnn-test](https://huggingface.co/yhavinga/t5-v1.1-large-dutch-cnn-test) | t5-v1.1 | 1024      | 96         | 34,4   | 13,6   | 25,3   | 31,7      | 81           | 5      | 16         | 89720 | 11h      |   