metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
pipeline_tag: translation
tags:
- generated_from_trainer
model-index:
- name: formula-flan-t5-base
results: []
formula-flan-t5-base
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7278
- Exact Match: 0.029
- Sketch Match: 0.729
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: 5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 192
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Exact Match | Validation Loss | Sketch Match |
|---|---|---|---|---|---|
| 28.3162 | 1.0 | 491 | 0.0 | 2.0387 | 0.4857 |
| 12.1008 | 2.0 | 982 | 0.0127 | 1.1106 | 0.6797 |
| 9.0784 | 3.0 | 1473 | 0.014 | 0.9603 | 0.7123 |
| 8.0024 | 4.0 | 1964 | 0.0207 | 0.8636 | 0.724 |
| 7.2896 | 5.0 | 2455 | 0.0217 | 0.8055 | 0.7257 |
| 6.8783 | 6.0 | 2946 | 0.026 | 0.7614 | 0.7237 |
| 6.6384 | 7.0 | 3437 | 0.7369 | 0.0283 | 0.7337 |
| 6.5362 | 8.0 | 3928 | 0.7278 | 0.029 | 0.729 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2