T5_model_1
This model is a fine-tuned version of google-t5/t5-small on the wmt14 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4948
- Bleu: 8.741
- Gen Len: 17.974
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: 0.001
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 10 | 1.5554 | 8.7554 | 17.9983 |
| No log | 2.0 | 20 | 1.4948 | 8.741 | 17.974 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.12.1
- Datasets 2.18.0
- Tokenizers 0.13.2
- Downloads last month
- 105
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 sriram-sanjeev9s/T5_model_1
Base model
google-t5/t5-small