flan-t5-base-finetuned-frnet-325ct-finetuned-frnet-325ct-3e-3
This model is a fine-tuned version of RohanHBTU/flan-t5-base-finetuned-frnet-325ct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5314
- Bleu: 40.4089
- Gen Len: 91.1374
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: 4e-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 |
|---|---|---|---|---|---|
| 0.619 | 1.0 | 8918 | 0.5858 | 37.3797 | 95.924 |
| 0.6844 | 2.0 | 17836 | 0.5445 | 39.9036 | 91.5354 |
| 0.624 | 3.0 | 26754 | 0.5314 | 40.4089 | 91.1374 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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