t5-feedback-generator
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8114
- Rouge1: 50.7191
- Rouge2: 31.3035
- Rougel: 40.6378
- Rougelsum: 40.6764
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 62.9320 | 1.0 | 124 | 5.3056 | 19.8545 | 2.9046 | 17.6738 | 17.6777 |
| 34.6080 | 2.0 | 248 | 2.5459 | 47.8893 | 28.356 | 38.5807 | 38.5019 |
| 20.7233 | 3.0 | 372 | 1.8166 | 49.9502 | 30.8132 | 40.2307 | 40.1334 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
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Base model
google/flan-t5-base