File size: 1,475 Bytes
a8f2b16 3c7b14a a8f2b16 3c7b14a |
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 56 57 58 59 60 61 62 63 |
---
license: other
base_model: /data/user/chengrui/project/mergekit/Phi-3-mini-128k-instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: phi3-chinese-orpo
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. -->
# phi3-chinese-orpo
This model is a fine-tuned version of [/data/user/chengrui/project/mergekit/Phi-3-mini-128k-instruct](https://huggingface.co//data/user/chengrui/project/mergekit/Phi-3-mini-128k-instruct) on the dpo_mix_en and the dpo_mix_zh datasets.
## 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 20
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1
|