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---
pipeline_tag: text-generation
license: apache-2.0
language:
- en
tags:
- SOLAR-10.7B-v1.0
- Open-platypus-Commercial
base_model: upstage/SOLAR-10.7B-v1.0
datasets:
- kyujinpy/Open-platypus-Commercial
model-index:
- name: T3Q-platypus-SOLAR-10.7B-v1.0
results: []
---
Update @ 2024.03.07
## T3Q-platypus-SOLAR-10.7B-v1.0
This model is a fine-tuned version of upstage/SOLAR-10.7B-v1.0
**Model Developers** Chihoon Lee(chlee10), T3Q
## Training hyperparameters
The following hyperparameters were used during training:
```python
python finetune.py \
--base_model PracticeLLM/Twice-KoSOLAR-16.1B-test \
--data-path kyujinpy/KOR-OpenOrca-Platypus-v3 \
--output_dir ./Twice-KoSOLAR-16.1B-instruct-test \
--batch_size 64 \
--micro_batch_size 1 \
--num_epochs 1 \
--learning_rate 3e-5 \
--cutoff_len 4096 \
--val_set_size 0 \
--lora_r 16 \
--lora_alpha 16 \
--lora_dropout 0.05 \
--lora_target_modules '[q_proj, k_proj, v_proj, o_proj, gate_proj, down_proj, up_proj, lm_head]' \
--train_on_inputs False \
--add_eos_token False \
--group_by_length False \
--prompt_template_name user_prompt \
--lr_scheduler 'cosine' \
#--warmup_steps 100 \
```
## Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.13.0
- Tokenizers 0.14.1 |