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viamr-project/
amr-parsing-dapo-single-single-turn-20260206-0132-global-step-311

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qwen3

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amr-parsing-dapo-single-single-turn-20260206-0132-global-step-311

Model Information

Base Model: checkpoints/amr-parsing-dapo-single/single-turn-20260206-0132/global_step_311/actor
Timestamp: 20260206-0132

Benchmark Results

Benchmark File: amr-parsing-dapo-single-single-turn-20260206-0132-global-step-311_20260206-0132.jsonl
Score:
- F1: 81.23
- Precision: 82.17
- Recall: 80.32

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("viamr-project/amr-parsing-dapo-single-single-turn-20260206-0132-global-step-311", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("viamr-project/amr-parsing-dapo-single-single-turn-20260206-0132-global-step-311", trust_remote_code=True)

Sample Prompt:

text

<|im_start|>user
Convert the following English sentence into its Abstract Meaning Representation (AMR):

<sentence>2007-08-21</sentence><|im_end|>
<|im_start|>assistant
<think>

Training Details

Framework: veRL (Reinforcement Learning)
Task: AMR Parsing