Aslandmsl

🚀 aslandmsl

This model is a fine - tuned version of [Helsinki - NLP/opus - mt - es - es](https://huggingface.co/Helsinki - NLP/opus - mt - es - es) on the None dataset. It offers specific evaluation metrics, which can be used for relevant natural language processing tasks, providing more accurate results.

🚀 Quick Start

This section would typically include how to load and use the model. Since no such content is provided in the original, we'll skip adding placeholder text.

✨ Features

This model is a fine - tuned version of [Helsinki - NLP/opus - mt - es - es](https://huggingface.co/Helsinki - NLP/opus - mt - es - es). It achieves the following results on the evaluation set:

• Loss: 0.1788
• Model Preparation Time: 0.0058
• Bleu Msl: 88.0304
• Bleu Asl: 0
• Ter Msl: 7.4110
• Ter Asl: 100

📚 Documentation

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: 1e - 05
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon = 1e - 08 and optimizer_args = No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3

📄 License

The model is under the apache - 2.0 license.

📦 Information Table