Llama_finetune_farmers
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an Farmer specific dataset. The dataset has been made by a mix of extracting relevant agriculture related queries that farmers have and have been fed into Llama-70B for getting relevant responses. The question-answer pair has been used to fine-tune the 2B model and can be loaded using the 4-bit quantization from bits_and_bytes model
Model description
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Intended uses & limitations
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Training and evaluation data
More information needed
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
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.13.3
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Base model
NousResearch/Llama-2-7b-chat-hf