Chatbot_Model_Trial
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: 1.4141
- Rouge1: 20.2835
- Rouge2: 9.4794
- Rougel: 20.2587
- Rougelsum: 20.2835
- Gen Len: 14.125
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 | 10 | 1.9123 | 18.7955 | 5.5978 | 17.9735 | 17.9848 | 14.75 |
| No log | 2.0 | 20 | 1.6554 | 22.5345 | 7.961 | 21.3846 | 21.8442 | 15.0 |
| No log | 3.0 | 30 | 1.5016 | 25.764 | 8.9312 | 24.6364 | 25.0268 | 13.75 |
| No log | 4.0 | 40 | 1.4346 | 20.2835 | 9.4794 | 20.2587 | 20.2835 | 14.125 |
| No log | 5.0 | 50 | 1.4141 | 20.2835 | 9.4794 | 20.2587 | 20.2835 | 14.125 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
google/flan-t5-base