flan-t5-base-cars-descriptions
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: 1.0993
- Rouge1: 19.8484
- Rouge2: 13.6841
- Rougel: 17.8819
- Rougelsum: 19.2489
- Gen Len: 19.0
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 28 | 1.3129 | 19.8055 | 13.244 | 17.4816 | 18.9752 | 19.0 |
| No log | 2.0 | 56 | 1.1922 | 20.0308 | 13.7036 | 17.7216 | 19.3773 | 19.0 |
| No log | 3.0 | 84 | 1.1337 | 19.4591 | 13.5553 | 17.5737 | 18.7867 | 19.0 |
| No log | 4.0 | 112 | 1.1075 | 19.8452 | 13.681 | 17.8433 | 19.246 | 19.0 |
| No log | 5.0 | 140 | 1.0993 | 19.8484 | 13.6841 | 17.8819 | 19.2489 | 19.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for fashxp/flan-t5-base-cars-descriptions
Base model
google/flan-t5-base