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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
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