flan-t5-base-esnli
This model is a fine-tuned version of google/flan-t5-base on the esnli dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 7.9134
- Rouge2: 2.5218
- Rougel: 6.6841
- Rougelsum: 6.8287
- Gen Len: 5.1981
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 8584 | nan | 7.9134 | 2.5218 | 6.6841 | 6.8287 | 5.1981 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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Model tree for Mitrofazotron/flan-t5-base-esnli
Base model
google/flan-t5-baseDataset used to train Mitrofazotron/flan-t5-base-esnli
Evaluation results
- Rouge1 on esnlivalidation set self-reported7.913