<!-- 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-topics-customdata
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6454
- Rouge1: 35.5152
- Rouge2: 26.0061
- Rougel: 34.6245
- Rougelsum: 34.6301
- Gen Len: 12.131
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
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
2.6449 | 1.0 | 1000 | 2.6940 | 34.7463 | 25.5926 | 33.9278 | 33.9533 | 12.456 |
2.4802 | 2.0 | 2000 | 2.6530 | 35.3548 | 25.9763 | 34.4508 | 34.4747 | 12.329 |
2.4914 | 3.0 | 3000 | 2.6454 | 35.5152 | 26.0061 | 34.6245 | 34.6301 | 12.131 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3