<!-- 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. -->
qm_sum_flan_t5-base
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0521
- Rouge2: 0.0099
- Rougel: 0.0449
- Rougelsum: 0.0448
- Gen Len: 12.8162
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 158 | nan | 0.0521 | 0.0099 | 0.0449 | 0.0448 | 12.8162 |
| No log | 2.0 | 316 | nan | 0.0521 | 0.0099 | 0.0449 | 0.0448 | 12.8162 |
| No log | 3.0 | 474 | nan | 0.0521 | 0.0099 | 0.0449 | 0.0448 | 12.8162 |
| 0.0 | 4.0 | 632 | nan | 0.0521 | 0.0099 | 0.0449 | 0.0448 | 12.8162 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
