tf_small_en_to_french_for_web_multiple_iterations
This model is a fine-tuned version of divesh-panwar/tf_small_en_to_french_for_web_multiple_iterations on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9685
- Bleu: 7.0169
- Gen Len: 18.703
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.1224 | 1.0 | 1000 | 0.9722 | 6.9823 | 18.7038 |
| 1.0969 | 2.0 | 2000 | 0.9685 | 7.0169 | 18.703 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 9
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for divesh-panwar/tf_small_en_to_french_for_web_multiple_iterations
Unable to build the model tree, the base model loops to the model itself. Learn more.