File size: 1,441 Bytes
d3f3ed3 cbf0d6b d3f3ed3 cbf0d6b e77ffad cbf0d6b d3f3ed3 cbf0d6b d3f3ed3 cbf0d6b d3f3ed3 cbf0d6b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: Llama_finetune_farmers
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama_finetune_farmers
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/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
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: 0.0002
- 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
|