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qwen3-1.7b-amr-augmented-20260214-1147
Model Information
- Timestamp: 20260214_180024
Benchmark Results
Benchmark File: viamr-project_qwen3-1.7b-amr-augmented-20260214-1147.jsonl
Score:
- F1: 82.06
- Precision: 83.07
- Recall: 81.07
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("viamr-project/qwen3-1.7b-amr-augmented-20260214-1147", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("viamr-project/qwen3-1.7b-amr-augmented-20260214-1147", 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
Training Details
- Framework: veRL (Reinforcement Learning)
- Task: AMR Parsing
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