trainer_wheel_model
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: 2.8911
- Refined F1: 6.5281
- Meteor: 14.3360
- Bert Score F1: 80.5293
- Rouge1: 11.9272
- Rouge2: 1.9063
- Rougel: 8.2440
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Refined F1 | Meteor | Bert Score F1 | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|---|---|---|
| 3.1114 | 1.0 | 3535 | 2.9473 | 6.3827 | 14.0121 | 80.5994 | 12.0441 | 1.9421 | 8.4024 |
| 3.021 | 2.0 | 7070 | 2.9119 | 6.4954 | 14.0416 | 80.4270 | 11.8023 | 1.9007 | 8.2623 |
| 2.9904 | 3.0 | 10605 | 2.8950 | 6.5251 | 14.2535 | 80.5717 | 12.0747 | 1.9382 | 8.3584 |
| 2.9729 | 4.0 | 14140 | 2.8911 | 6.5281 | 14.3360 | 80.5293 | 11.9272 | 1.9063 | 8.2440 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for ai1-test/trainer_wheel_model
Base model
google/flan-t5-base