metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: randomization_model_new
results: []
randomization_model_new
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5559
- Bleu: 0.0
- Wer: 0.9616
- Rougel: 0.1052
- Gen Len: 19.0
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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 3.4449 | 0.4 | 100 | 2.9554 | 0.0 | 0.9649 | 0.0961 | 18.99 |
| 3.2957 | 0.8 | 200 | 2.7974 | 0.0 | 0.964 | 0.0989 | 18.984 |
| 3.1923 | 1.2 | 300 | 2.6976 | 0.0 | 0.9629 | 0.1013 | 18.9945 |
| 3.1268 | 1.6 | 400 | 2.6331 | 0.0 | 0.9626 | 0.1025 | 18.9985 |
| 3.0741 | 2.0 | 500 | 2.5914 | 0.0 | 0.962 | 0.104 | 18.997 |
| 3.0514 | 2.4 | 600 | 2.5671 | 0.0 | 0.9616 | 0.105 | 18.997 |
| 3.0312 | 2.8 | 700 | 2.5559 | 0.0 | 0.9616 | 0.1052 | 19.0 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1