t5-base-T-5-BASE-FINETUNED
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9085
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1694 | 1.0 | 8125 | 1.9456 |
| 2.0675 | 2.0 | 16250 | 1.9215 |
| 2.0329 | 3.0 | 24375 | 1.9110 |
| 2.0023 | 4.0 | 32500 | 1.9085 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2
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Model tree for siddharth57/t5-base-T-5-BASE-FINETUNED
Base model
google-t5/t5-base