translation_score2

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2729

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: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.4668	0.1937	500	1.3084
1.3065	0.3874	1000	1.2897
1.2896	0.5812	1500	1.2808
1.2801	0.7749	2000	1.2753
1.2802	0.9686	2500	1.2729

Framework versions

• PEFT 0.12.0
• Transformers 4.45.0.dev0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1