news_model_6
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6530
- Rouge1: 0.1504
- Rouge2: 0.0493
- Rougel: 0.1154
- Rougelsum: 0.1153
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.9574 | 1.0 | 2249 | 2.7282 | 0.1465 | 0.047 | 0.1125 | 0.1125 | 18.9979 |
| 2.9013 | 2.0 | 4498 | 2.6873 | 0.1484 | 0.0481 | 0.1138 | 0.1138 | 18.9982 |
| 2.8676 | 3.0 | 6747 | 2.6691 | 0.1492 | 0.0488 | 0.1144 | 0.1144 | 18.9982 |
| 2.858 | 4.0 | 8996 | 2.6609 | 0.1499 | 0.0491 | 0.115 | 0.115 | 19.0 |
| 2.8434 | 5.0 | 11245 | 2.6553 | 0.1501 | 0.0491 | 0.1151 | 0.1151 | 19.0 |
| 2.8378 | 6.0 | 13494 | 2.6530 | 0.1504 | 0.0493 | 0.1154 | 0.1153 | 19.0 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google-t5/t5-small