Add library_name, robotics tag, Github link

README.md

@@ -1,16 +1,17 @@
 ---
+language:
+- en
 license: apache-2.0
+library_name: transformers
+pipeline_tag: robotics
 tags:
 - nlp
 - agent
-language:
-- en
-pipeline_tag: text-generation
 ---
 
 # ALFWorld-MPO
 
-This model is a fine-tuned version of Llama-3.1-8B-Instruct on the [alfworld-metaplan-preference-pairs](https://huggingface.co/datasets/xwm/Meta_Plan_Optimization/blob/main/alfworld_metaplan_preference_pairs.json) dataset.
+This model is a fine-tuned version of Llama-3.1-8B-Instruct on the [alfworld-metaplan-preference-pairs](https://huggingface.co/datasets/xwm/Meta_Plan_Optimization/blob/main/alfworld_metaplan_preference_pairs.json) dataset as described in [MPO: Boosting LLM Agents with Meta Plan Optimization](https://hf.co/papers/2503.02682).
 It achieves the following results on the evaluation set:
 - Loss: 0.8390
 - Rewards/chosen: -0.5836
@@ -63,3 +64,217 @@ The following hyperparameters were used during training:
 - Pytorch 2.5.1+cu124
 - Datasets 3.1.0
 - Tokenizers 0.20.3
+
+## Code
+
+[https://github.com/WeiminXiong/MPO](https://github.com/WeiminXiong/MPO)
+
+# File information
+
+The repository contains the following file information:
+
+Filename: tokenizer.json
+Content: "Content of the file is larger than 50 KB, too long to display."
+
+Filename: all_results.json
+Content: {
+  "epoch": 3.0,
+  "eval_logits/chosen": -0.33491453528404236,
+  "eval_logits/rejected": -0.3404884338378906,
+  "eval_logps/chosen": -12.90090274810791,
+  "eval_logps/rejected": -19.88900375366211,
+  "eval_loss": 0.8390035629272461,
+  "eval_rewards/accuracies": 0.6317567825317383,
+  "eval_rewards/chosen": -0.5836451649665833,
+  "eval_rewards/margins": 0.680999755859375,
+  "eval_rewards/rejected": -1.2646448612213135,
+  "eval_runtime": 29.3135,
+  "eval_samples_per_second": 10.098,
+  "eval_steps_per_second": 2.524,
+  "total_flos": 11469721436160.0,
+  "train_loss": 0.693384567896525,
+  "train_runtime": 1185.9878,
+  "train_samples_per_second": 6.716,
+  "train_steps_per_second": 0.21
+}
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