--- license: mit base_model: facebook/m2m100_418M tags: - generated_from_trainer model-index: - name: output results: [] --- # output This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6394 ## 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: 5e-05 - train_batch_size: 64 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.7525 | 0.53 | 100 | 0.9179 | | 0.7831 | 1.06 | 200 | 0.6902 | | 0.6143 | 1.6 | 300 | 0.6662 | | 0.5988 | 2.13 | 400 | 0.6493 | | 0.5075 | 2.66 | 500 | 0.6415 | | 0.4766 | 3.19 | 600 | 0.6408 | | 0.4445 | 3.72 | 700 | 0.6394 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.2 - Datasets 2.1.0 - Tokenizers 0.15.2