metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
- accuracy
model-index:
- name: randomization_model
results: []
randomization_model
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1397
- Bleu: 0.0001
- Accuracy: 0.0
- Gen Len: 18.9987
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Accuracy | Gen Len |
|---|---|---|---|---|---|---|
| 0.2127 | 1.0 | 6250 | 0.1517 | 0.0001 | 0.0 | 18.9987 |
| 0.1844 | 2.0 | 12500 | 0.1397 | 0.0001 | 0.0 | 18.9987 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.3.0.dev20240122+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1