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: 2.6576
- Bleu: 0.0001
- Wer: 0.9576
- Gen Len: 18.9986
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 | Gen Len |
|---|---|---|---|---|---|---|
| 2.5767 | 0.16 | 1000 | 1.6626 | 0.0001 | 0.954 | 18.9985 |
| 1.9533 | 0.32 | 2000 | 1.5147 | 0.0001 | 0.9524 | 18.9986 |
| 1.8318 | 0.48 | 3000 | 1.4392 | 0.0001 | 0.9518 | 18.9986 |
| 1.7626 | 0.64 | 4000 | 1.3857 | 0.0001 | 0.9514 | 18.9986 |
| 1.7199 | 0.8 | 5000 | 1.3553 | 0.0001 | 0.951 | 18.9988 |
| 1.6727 | 0.96 | 6000 | 1.3325 | 0.0001 | 0.9507 | 18.9986 |
| 1.9628 | 1.12 | 7000 | 1.8528 | 0.0001 | 0.9524 | 18.9988 |
| 2.9138 | 1.28 | 8000 | 2.6299 | 0.0001 | 0.9568 | 18.9986 |
| 3.5506 | 1.44 | 9000 | 2.7483 | 0.0001 | 0.958 | 18.9987 |
| 3.5214 | 1.6 | 10000 | 2.7007 | 0.0001 | 0.9578 | 18.9986 |
| 3.4669 | 1.76 | 11000 | 2.6699 | 0.0001 | 0.9576 | 18.9986 |
| 3.4448 | 1.92 | 12000 | 2.6576 | 0.0001 | 0.9576 | 18.9986 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.3.0.dev20240122+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1