dialogue-summarize
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: 52.0
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.31 | 10 | 52.6000 |
| No log | 0.62 | 20 | 52.2000 |
| 49.02 | 0.94 | 30 | 52.1000 |
| 49.02 | 1.25 | 40 | 51.9500 |
| 48.76 | 1.56 | 50 | 52.0 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.13.2
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Base model
google/flan-t5-base