qwen3-1.7b-amr-20260206-1235

Model Information

• Timestamp: 20260206_144244

Benchmark Results

• Benchmark File: viamr-project_qwen3-1.7b-amr-20260206-1235.jsonl

• Score:

  • F1: 71.31
  • Precision: 72.74
  • Recall: 69.94

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("viamr-project/qwen3-1.7b-amr-20260206-1235", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("viamr-project/qwen3-1.7b-amr-20260206-1235", trust_remote_code=True)

Sample Prompt:

<|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