events-mem-small-no-prompt
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: 0.0052
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: 2e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.3428 | 1.0 | 644 | 0.1778 |
| 0.3567 | 2.0 | 1288 | 0.0091 |
| 0.0298 | 3.0 | 1932 | 0.0066 |
| 0.0151 | 4.0 | 2576 | 0.0060 |
| 0.0126 | 5.0 | 3220 | 0.0058 |
| 0.0122 | 6.0 | 3864 | 0.0055 |
| 0.0106 | 7.0 | 4508 | 0.0053 |
| 0.0101 | 8.0 | 5152 | 0.0053 |
| 0.0101 | 9.0 | 5796 | 0.0051 |
| 0.0096 | 10.0 | 6440 | 0.0052 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-small