metadata

library_name: peft
license: apache-2.0
base_model: unsloth/mistral-7b-bnb-4bit
tags:
  - unsloth
  - generated_from_trainer
model-index:
  - name: english-hindi-colloquial-translator
    results: []
datasets:
  - vanshikasundrani/english-hindi-colloquial-dataset
  - cfilt/iitb-english-hindi

english-hindi-colloquial-translator

This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

Loss: 8.7228

Model description

Model to translate the English to Hindi Language

Intended uses & limitations

More information needed

Training and evaluation data

Base pretrained dataset: Training and Evaluation Data is present in: vanshikasundrani/english-hindi-colloquial-dataset prompt = f"""### Human: You are a Hindi colloquial language translator. Translate the following English text to Hindi colloquial language (spoken Hindi). Here are some examples: "See you later?" -> ""बाद में मिलते हैं?" "How are you?" -> "कैसे हो?" "What's your plan?" -> "तुम्हारा क्या प्लान है?"

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.6198	5.9701	400	8.7228

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0