t-5_base_test_1
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2275
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.13 | 250 | 1.3344 |
| 1.793 | 0.27 | 500 | 1.2824 |
| 1.793 | 0.4 | 750 | 1.2598 |
| 1.3637 | 0.53 | 1000 | 1.2439 |
| 1.3637 | 0.66 | 1250 | 1.2370 |
| 1.3241 | 0.8 | 1500 | 1.2305 |
| 1.3241 | 0.93 | 1750 | 1.2275 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 106
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for jgibb/t-5_base_test_1
Base model
google-t5/t5-base