metadata
license: apache-2.0
base_model: t5-base
tags:
- convert-pov
- generated_from_trainer
metrics:
- bleu
model-index:
- name: output
results: []
output
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2879
- Bleu: 66.4554
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.3751 | 1.0 | 1019 | 0.3149 | 65.4313 |
| 0.3368 | 2.0 | 2038 | 0.2931 | 66.2663 |
| 0.3254 | 3.0 | 3057 | 0.2879 | 66.4554 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3