flan-t5-large-p-l-akk-en-20241023-233318
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 16.5796
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: 4e-05
- train_batch_size: 112
- eval_batch_size: 112
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7899 | 0.2417 | 5000 | 0.7394 |
| 0.5793 | 0.4835 | 10000 | 0.5446 |
| 1.3046 | 0.7252 | 15000 | 1.2517 |
| 1.3069 | 0.9670 | 20000 | 1.2526 |
| 1.5098 | 1.2087 | 25000 | 1.4190 |
| 15.0261 | 1.4505 | 30000 | 7.3843 |
| 22.769 | 1.6922 | 35000 | 16.5796 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.6.0.dev20241022+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for Thalesian/flan-t5-large-p-l-akk-en-20241023-233318
Base model
google/flan-t5-large