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
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Base model
unsloth/mistral-7b-bnb-4bit