Update README.md

README.md

@@ -1,73 +1,10 @@
 ---
-license: other
+license: apache-2.0
 base_model: Qwen/Qwen1.5-0.5B-Chat
 tags:
 - trl
 - orpo
-- generated_from_trainer
 model-index:
 - name: Qwen-Orpo-v1
   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. -->
-
-# Qwen-Orpo-v1
-
-This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B-Chat](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.8005
-- Rewards/chosen: -0.1607
-- Rewards/rejected: -0.2097
-- Rewards/accuracies: 0.8936
-- Rewards/margins: 0.0490
-- Logps/rejected: -2.0968
-- Logps/chosen: -1.6067
-- Logits/rejected: -1.4714
-- Logits/chosen: -1.5480
-- Nll Loss: 1.7529
-- Log Odds Ratio: -0.4757
-- Log Odds Chosen: 0.5760
-
-## 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: 8e-06
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 10
-- 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 | Log Odds Ratio | Log Odds Chosen |
-|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
-| 1.9413        | 0.5001 | 1744 | 1.8005          | -0.1607        | -0.2097          | 0.8936             | 0.0490          | -2.0968        | -1.6067      | -1.4714         | -1.5480       | 1.7529   | -0.4757        | 0.5760          |
-
-
-### Framework versions
-
-- Transformers 4.40.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1