t5-pegasus-finetuned_test
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0045
- Sacrebleu: 0.8737
- Rouge 1: 0.0237
- Rouge 2: 0.0
- Rouge L: 0.0232
- Bleu 1: 0.1444
- Bleu 2: 0.0447
- Bleu 3: 0.0175
- Bleu 4: 0.0083
- Meteor: 0.0609
- Gen Len: 15.098
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: 128
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Rouge 1 | Rouge 2 | Rouge L | Bleu 1 | Bleu 2 | Bleu 3 | Bleu 4 | Meteor | Gen Len |
|---|
| No log | 52.5 | 210 | 5.9818 | 0.9114 | 0.0229 | 0.0 | 0.0225 | 0.1424 | 0.0436 | 0.0183 | 0.0091 | 0.06 | 15.126 |
| No log | 70.0 | 280 | 6.0072 | 0.876 | 0.0233 | 0.0 | 0.0228 | 0.1437 | 0.0452 | 0.0177 | 0.0083 | 0.0607 | 15.088 |
| No log | 87.5 | 350 | 6.0017 | 0.8695 | 0.0229 | 0.0 | 0.0225 | 0.1445 | 0.0443 | 0.0175 | 0.0082 | 0.0609 | 15.12 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
