--- tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: en2arCkptfromgendata_02 results: [] --- # en2arCkptfromgendata_02 This model is a fine-tuned version of [Shularp/en2arCkptfromgendata_01](https://huggingface.co/Shularp/en2arCkptfromgendata_01) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.4830 - Bleu: 37.6862 ## 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.5739 | 1.0 | 38 | 1.4830 | 37.6862 | | 0.5953 | 2.0 | 76 | 1.4830 | 37.6862 | | 0.5959 | 3.0 | 114 | 1.4830 | 37.6862 | | 0.586 | 4.0 | 152 | 1.4830 | 37.6862 | | 0.6381 | 5.0 | 190 | 1.4830 | 37.6862 | | 0.6583 | 6.0 | 228 | 1.4830 | 37.6862 | | 0.6627 | 7.0 | 266 | 1.4830 | 37.6862 | | 0.7228 | 8.0 | 304 | 1.4830 | 37.6862 | | 0.6493 | 9.0 | 342 | 1.4830 | 37.6862 | | 0.6138 | 10.0 | 380 | 1.4830 | 37.6862 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3