phi-3-mini-sft-indicqa-hindi-v0.1
model description
this model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the dataset ai4bharat-IndicQA-hi-202410.
prepared by @sepiatone.
intended uses & limitations
intended for an educational and non-commercial purpose.
training procedure
training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP
library versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for sepiatone/phi-3-mini-sft-indicqa-hi
Base model
microsoft/Phi-3-mini-128k-instruct