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
- Downloads last month
- 8
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for ai1-test/trainer_wheel_model
Base model
google/flan-t5-base