llama2-7b-english-to-hinglish-translation

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7508
• Rouge Scores: {'rouge1': 0.9207934134490793, 'rouge2': 0.8268216875143521, 'rougeL': 0.863418556340243, 'rougeLsum': 0.9207165318568765}
• Bleu Scores: [0.9430535279899742, 0.9289517504059885, 0.9111307023404618, 0.8922236591496603]
• Gen Len: 2048.0

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge Scores	Bleu Scores	Gen Len
0.8283	1.0	500	0.7644	{'rouge1': 0.921717672607307, 'rouge2': 0.8269254584175559, 'rougeL': 0.8617480706939217, 'rougeLsum': 0.9216499826848323}	[0.9428124451183093, 0.9288838577090098, 0.910999858543974, 0.8919623155075178]	2048.0
0.5824	2.0	1000	0.7508	{'rouge1': 0.9207934134490793, 'rouge2': 0.8268216875143521, 'rougeL': 0.863418556340243, 'rougeLsum': 0.9207165318568765}	[0.9430535279899742, 0.9289517504059885, 0.9111307023404618, 0.8922236591496603]	2048.0

Framework versions

• PEFT 0.8.2
• Transformers 4.38.0.dev0
• Pytorch 2.1.0+cu118
• Datasets 2.16.2.dev0
• Tokenizers 0.15.1