metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
- accuracy
model-index:
- name: randomization_model
results: []
randomization_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9445
- Bleu: 0.0
- Accuracy: 0.0
- Gen Len: 18.9976
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Accuracy | Gen Len |
|---|---|---|---|---|---|---|
| 2.4068 | 1.0 | 6250 | 1.9445 | 0.0 | 0.0 | 18.9976 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.3.0.dev20240113
- Datasets 2.12.0
- Tokenizers 0.13.2