t5-small-wikilarge
This model is a fine-tuned version of bogdancazan/t5-small-wikilarge on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4538
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 14
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.5854 | 1.0 | 290 | 1.4886 |
1.565 | 2.0 | 581 | 1.4795 |
1.5606 | 3.0 | 872 | 1.4721 |
1.5309 | 4.0 | 1163 | 1.4668 |
1.5223 | 5.0 | 1453 | 1.4625 |
1.547 | 6.0 | 1744 | 1.4591 |
1.5216 | 7.0 | 2035 | 1.4569 |
1.5138 | 8.0 | 2326 | 1.4552 |
1.5293 | 9.0 | 2616 | 1.4540 |
1.5249 | 9.97 | 2900 | 1.4538 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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