Pegasus_paraphraser_2
This model is a fine-tuned version of Gayathri142214002/Pegasus_paraphraser_1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2781
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2589 | 0.45 | 1000 | 0.2488 |
0.2693 | 0.9 | 2000 | 0.2436 |
0.2255 | 1.35 | 3000 | 0.2632 |
0.2291 | 1.8 | 4000 | 0.2603 |
0.2092 | 2.25 | 5000 | 0.2714 |
0.1955 | 2.69 | 6000 | 0.2668 |
0.1893 | 3.14 | 7000 | 0.2802 |
0.1706 | 3.59 | 8000 | 0.2781 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 2
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.