t5-base-finetuned-frnet
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1683
- Bleu: 3.3806
- Gen Len: 18.8999
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|
| 1.5599 | 1.0 | 2194 | 1.3242 | 3.24 | 18.8611 |
| 1.4103 | 2.0 | 4388 | 1.1985 | 3.3433 | 18.9008 |
| 1.3415 | 3.0 | 6582 | 1.1683 | 3.3806 | 18.8999 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for RohanHBTU/t5-base-finetuned-frnet
Base model
google-t5/t5-base