Abdullah Abdelrhim
abdullah
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New post-training example: SFT on agent traces with TRL
ā A large model works as a coding agent in OpenCode, run through OpenEnv
ā The tasks it solves become the training data
ā A 2B model goes from 5.5% to 34.4% on held-out tasks
About 500 traces get most of the gain. Five times more add only 3 to 4 points, so SFT gets the agent working and RL has to do the rest
Full guide, with the models, traces and every rollout open:
https://github.com/huggingface/trl/tree/main/examples/sft_agent_tracesOrganizations
models 9
abdullah/arabic-whisper-codeswitching-ct2
Updated ā¢ 11
abdullah/microsoft-deberta-v3-small-1024
Token Classification ā¢ 0.1B ā¢ Updated ā¢ 22
abdullah/AceGPT-7B-chat-GGUF
Text Generation ā¢ 7B ā¢ Updated ā¢ 129 ā¢ 1
abdullah/whisper-large-v2-bn
Automatic Speech Recognition ā¢ Updated ā¢ 9
abdullah/lora_openai_whisper_small_bengali_multi_adapter
Updated
abdullah/lora_whisper_large_bengali_multi_adapter
Updated
abdullah/adalora_whisper_large_arabic_multi_adapter
Updated ā¢ 8
abdullah/whisper-small-dv
Updated ā¢ 5
abdullah/clu-ling-whisper-large-v2-arabic-5k-steps-LORA-colab
Updated