t5-base_ep_2_bz_32_dt_vnx_dev_hydra_1751820333_
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8116
- Rouge1: 22.21
- Rouge2: 6.1674
- Rougel: 14.7139
- Rougelsum: 15.6677
- Gen Len: 16.8673
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 83 | 5.9027 | 20.7946 | 5.7226 | 13.8154 | 14.7269 | 18.1512 |
| No log | 2.0 | 166 | 5.8116 | 22.21 | 6.1674 | 14.7139 | 15.6677 | 16.8673 |
Framework versions
- Transformers 4.53.1
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2