balanced-genai-training
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: 0.0895
- Rouge1: 97.1196
- Rouge2: 88.8856
- Rougel: 97.1174
- Rougelsum: 97.1196
- Gen Len: 5.3088
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1037 | 1.0 | 1226 | 0.0895 | 97.1196 | 88.8856 | 97.1174 | 97.1196 | 5.3088 |
Framework versions
- Transformers 4.33.1
- Pytorch 1.12.0+cu102
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for ahsan-mavros/balanced-genai-training
Base model
google/flan-t5-base