flan-t5-small-chat
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1109
- Rouge1: 78.7129
- Rouge2: 57.4257
- Rougel: 78.7129
- Rougelsum: 78.7129
- Gen Len: 3.0
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 51 | 0.1385 | 75.7426 | 51.4851 | 75.7426 | 75.7426 | 3.0 |
| No log | 2.0 | 102 | 0.1108 | 80.198 | 60.396 | 80.198 | 80.198 | 3.0 |
| No log | 3.0 | 153 | 0.1127 | 77.7228 | 55.4455 | 77.7228 | 77.7228 | 3.0 |
| No log | 4.0 | 204 | 0.1109 | 78.7129 | 57.4257 | 78.7129 | 78.7129 | 3.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
google/flan-t5-small