longt5-tglobal-large-16384-pubmed-3k_steps-finetuned-try
This model is a fine-tuned version of Stancld/longt5-tglobal-large-16384-pubmed-3k_steps on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4908
- Rouge1: 9.8332
- Rouge2: 4.5131
- Rougel: 7.9018
- Rougelsum: 9.1249
- Gen Len: 19.0
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 3.6842 | 9.7994 | 4.6182 | 8.4691 | 9.1692 | 19.0 |
| No log | 2.0 | 50 | 3.5808 | 10.1729 | 4.5409 | 8.4082 | 9.3547 | 19.0 |
| No log | 3.0 | 75 | 3.5255 | 10.2028 | 4.6251 | 8.3879 | 9.4187 | 19.0 |
| No log | 4.0 | 100 | 3.4989 | 9.8481 | 4.4739 | 7.8605 | 9.1653 | 19.0 |
| No log | 5.0 | 125 | 3.4908 | 9.8332 | 4.5131 | 7.9018 | 9.1249 | 19.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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