--- tags: - generated_from_trainer metrics: - bleu model-index: - name: mBART_translator_json_3 results: [] --- # mBART_translator_json_3 This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2480 - Bleu: 72.3119 - Gen Len: 38.8266 ## 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 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:| | No log | 1.0 | 444 | 1.5654 | 37.2408 | 115.2556 | | 4.2672 | 2.0 | 888 | 0.9088 | 58.5669 | 56.1363 | | 1.754 | 3.0 | 1332 | 0.6627 | 56.8038 | 56.2753 | | 1.2023 | 4.0 | 1776 | 0.5349 | 59.8569 | 35.3384 | | 0.9387 | 5.0 | 2220 | 0.4390 | 66.4894 | 46.4797 | | 0.7839 | 6.0 | 2664 | 0.3663 | 68.8133 | 46.3215 | | 0.664 | 7.0 | 3108 | 0.3127 | 67.7323 | 37.8041 | | 0.5833 | 8.0 | 3552 | 0.2790 | 69.3004 | 38.8193 | | 0.5833 | 9.0 | 3996 | 0.2543 | 70.0163 | 38.4707 | | 0.5206 | 10.0 | 4440 | 0.2480 | 72.3119 | 38.8266 | ### Framework versions - Transformers 4.23.1 - Pytorch 1.12.1+cu113 - Datasets 2.5.2 - Tokenizers 0.13.1