MPF-google-t5-samsum-3-epochs-finetuned
This model is a fine-tuned version of google-t5/t5-base on an samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4356
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7764 | 0.76 | 175 | 1.6085 |
| 1.6473 | 1.52 | 350 | 1.4899 |
| 1.5264 | 2.28 | 525 | 1.4356 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google-t5/t5-base