orpo chinese phi3 4K

README.md

@@ -1,62 +1,3 @@
 ---
-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: []
+license: mit
 ---
-
-<!-- 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