t5_large_no_prompt
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: 0.0063
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: 2
- eval_batch_size: 2
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6643 | 1.0 | 631 | 0.0084 |
| 0.009 | 2.0 | 1262 | 0.0077 |
| 0.0075 | 3.0 | 1893 | 0.0065 |
| 0.0059 | 4.0 | 2524 | 0.0063 |
| 0.0056 | 5.0 | 3155 | 0.0067 |
| 0.0054 | 6.0 | 3786 | 0.0063 |
| 0.0052 | 7.0 | 4417 | 0.0066 |
| 0.0052 | 8.0 | 5048 | 0.0063 |
| 0.0051 | 9.0 | 5679 | 0.0063 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for bif02/t5_large_no_prompt
Base model
google/flan-t5-base