metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-finetuned-Informal_Text-to-Formal_Text
results: []
t5-small-finetuned-Informal_Text-to-Formal_Text
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6182
- Bleu: 0.1261
- Gen Len: 16.6
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 3 | 5.5916 | 0.0865 | 16.4667 |
| No log | 2.0 | 6 | 5.0599 | 0.081 | 16.4667 |
| No log | 3.0 | 9 | 4.8082 | 0.0836 | 16.4667 |
| No log | 4.0 | 12 | 4.6234 | 0.0907 | 16.4667 |
| No log | 5.0 | 15 | 4.3832 | 0.0901 | 16.4667 |
| No log | 6.0 | 18 | 4.2065 | 0.1009 | 16.6 |
| No log | 7.0 | 21 | 4.0848 | 0.121 | 16.6 |
| No log | 8.0 | 24 | 3.9779 | 0.1318 | 16.6 |
| No log | 9.0 | 27 | 3.9105 | 0.1406 | 16.6 |
| No log | 10.0 | 30 | 3.8476 | 0.1444 | 16.6 |
| No log | 11.0 | 33 | 3.7890 | 0.1414 | 16.6 |
| No log | 12.0 | 36 | 3.7414 | 0.1414 | 16.6 |
| No log | 13.0 | 39 | 3.7097 | 0.1414 | 16.6 |
| No log | 14.0 | 42 | 3.6856 | 0.1328 | 16.6 |
| No log | 15.0 | 45 | 3.6665 | 0.1237 | 16.6 |
| No log | 16.0 | 48 | 3.6510 | 0.1237 | 16.6 |
| No log | 17.0 | 51 | 3.6392 | 0.1226 | 16.6 |
| No log | 18.0 | 54 | 3.6295 | 0.1226 | 16.6 |
| No log | 19.0 | 57 | 3.6224 | 0.1261 | 16.6 |
| No log | 20.0 | 60 | 3.6182 | 0.1261 | 16.6 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1