events-mem-small
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: 0.0085
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 |
---|---|---|---|
8.199 | 1.0 | 665 | 0.1677 |
0.3622 | 2.0 | 1330 | 0.0132 |
0.0297 | 3.0 | 1995 | 0.0105 |
0.0147 | 4.0 | 2660 | 0.0097 |
0.0123 | 5.0 | 3325 | 0.0092 |
0.0121 | 6.0 | 3990 | 0.0089 |
0.0106 | 7.0 | 4655 | 0.0086 |
0.0103 | 8.0 | 5320 | 0.0085 |
0.01 | 9.0 | 5985 | 0.0085 |
0.0096 | 10.0 | 6650 | 0.0085 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2
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