Update README.md

README.md

@@ -1,75 +1 @@
----
-license: llama3
-base_model: meta-llama/Meta-Llama-3-8B-Instruct
-tags:
-- alignment-handbook
-- generated_from_trainer
-datasets:
-- princeton-nlp/llama3-ultrafeedback
-model-index:
-- name: llama-3-8b-instruct-cpo-beta-0.1
-  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-3-8b-instruct-cpo-beta-0.1
-
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.3274
-- Rewards/chosen: -13.1885
-- Rewards/rejected: -14.3989
-- Rewards/accuracies: 0.7016
-- Rewards/margins: 1.2104
-- Logps/rejected: -143.9887
-- Logps/chosen: -131.8848
-- Logits/rejected: 0.2135
-- Logits/chosen: 0.1708
-- Nll Loss: 0.3287
-
-## 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: 1e-06
-- train_batch_size: 2
-- eval_batch_size: 4
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 16
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 128
-- total_eval_batch_size: 64
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss |
-|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
-| 1.2968        | 0.8547 | 400  | 1.3274          | -13.1885       | -14.3989         | 0.7016             | 1.2104          | -143.9887      | -131.8848    | 0.2135          | 0.1708        | 0.3287   |
-
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.3.0+rocm6.0
-- Datasets 2.19.2
-- Tokenizers 0.19.1
+This repository contains the model release for the use of [CPO](https://arxiv.org/abs/2401.08417), please find more details in [our github](https://github.com/fe1ixxu/CPO_SIMPO)!