t5-small-finetuned-cnndm2-wikihow2
This model is a fine-tuned version of Chikashi/t5-small-finetuned-cnndm2-wikihow1 on the wikihow dataset. It achieves the following results on the evaluation set:
- Loss: 2.3311
- Rouge1: 27.0962
- Rouge2: 10.3575
- Rougel: 23.1099
- Rougelsum: 26.4664
- Gen Len: 18.5197
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.517 | 1.0 | 39313 | 2.3311 | 27.0962 | 10.3575 | 23.1099 | 26.4664 | 18.5197 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
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