metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
- wer
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: 1.2766
- Bleu: 0.0001
- Wer: 0.9507
- Rougel: 0.1324
- Gen Len: 18.9988
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 | Wer | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 1.6112 | 0.16 | 1000 | 1.2949 | 0.0001 | 0.9506 | 0.1323 | 18.9988 |
| 1.5684 | 0.32 | 2000 | 1.2655 | 0.0001 | 0.9503 | 0.1328 | 18.9988 |
| 1.5378 | 0.48 | 3000 | 1.2461 | 0.0001 | 0.95 | 0.1334 | 18.9985 |
| 1.5183 | 0.64 | 4000 | 1.2246 | 0.0001 | 0.95 | 0.1334 | 18.9985 |
| 1.5065 | 0.8 | 5000 | 1.2108 | 0.0001 | 0.9499 | 0.1336 | 18.9985 |
| 1.4787 | 0.96 | 6000 | 1.1975 | 0.0001 | 0.9498 | 0.1338 | 18.9986 |
| 1.5081 | 1.12 | 7000 | 1.2173 | 0.0001 | 0.9498 | 0.134 | 18.9986 |
| 1.6302 | 1.28 | 8000 | 1.2801 | 0.0001 | 0.9507 | 0.1325 | 18.9988 |
| 1.6337 | 1.44 | 9000 | 1.2766 | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
| 1.6333 | 1.6 | 10000 | 1.2766 | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
| 1.6246 | 1.76 | 11000 | 1.2766 | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
| 1.6219 | 1.92 | 12000 | 1.2766 | 0.0001 | 0.9507 | 0.1324 | 18.9988 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.3.0.dev20240122+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1