flan-t5-base-finetuned-frnet-325ct
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6486
- Bleu: 35.1673
- Gen Len: 98.1731
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.878 | 1.0 | 8918 | 0.7682 | 28.3905 | 110.488 |
| 0.8594 | 2.0 | 17836 | 0.6753 | 33.6103 | 101.0089 |
| 0.7192 | 3.0 | 26754 | 0.6486 | 35.1673 | 98.1731 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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