Simple_Translation-model-for-GPT-v9

This model is a fine-tuned version of Dhahlan2000/Simple_Translation-model-for-GPT-v8 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1309
• Bleu: 20.7885
• Gen Len: 18.4567

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.1846	1.0	9282	0.1376	20.2968	18.454
0.1747	2.0	18564	0.1309	20.7885	18.4567

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1