t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5273
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: IPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- training precision: Mixed Precision
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8115 | 1.0 | 3188 | 2.5273 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.10.0+rocm4.2
- Datasets 2.3.2
- Tokenizers 0.12.1
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