--- license: apache-2.0 base_model: youdiniplays/tl-ceb-model-v2 tags: - generated_from_trainer metrics: - bleu model-index: - name: tl-ceb-model-v2 results: [] --- # tl-ceb-model-v2 This model is a fine-tuned version of [youdiniplays/tl-ceb-model-v2](https://huggingface.co/youdiniplays/tl-ceb-model-v2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4749 - Bleu: 3.8223 - Gen Len: 18.208 ## 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: 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: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| | 0.6089 | 1.0 | 6516 | 0.5061 | 3.6822 | 18.235 | | 0.5687 | 2.0 | 13032 | 0.4956 | 3.7119 | 18.222 | | 0.525 | 3.0 | 19548 | 0.4869 | 3.8722 | 18.219 | | 0.488 | 4.0 | 26064 | 0.4795 | 3.7886 | 18.23 | | 0.4527 | 5.0 | 32580 | 0.4749 | 3.8223 | 18.208 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0