verl-code-corpus-track-a-file-split / training_metrics.json
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{
"track": "A - Extended Pre-Training",
"repo_name": "verl",
"model": "/root/.cache/huggingface/hub/models--Qwen--Qwen2.5-Coder-3B/snapshots/09d9bc5d376b0cfa0100a0694ea7de7232525803",
"corpus_dir": "data/code_corpus_verl",
"extensions": [
".py"
],
"split_mode": "file",
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"corpus_files": 214,
"train_files": 172,
"val_files": 21,
"test_files": 21,
"val_file_names": [
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"verl__models__mcore__registry.py",
"verl__trainer__ppo__utils.py",
"verl__workers__config__model.py",
"verl__checkpoint_engine__hccl_checkpoint_engine.py",
"verl__utils__memory_buffer.py",
"verl__utils__config.py",
"verl__utils__py_functional.py",
"verl__workers__rollout__utils.py",
"verl__models__llama__megatron__layers__parallel_attention.py",
"verl__trainer__ppo__rollout_corr_helper.py",
"verl__trainer__config__algorithm.py",
"verl__utils__net_utils.py",
"verl__utils__profiler__config.py",
"verl__utils__fs.py",
"verl__trainer__sft_trainer_ray.py",
"verl__workers__rollout__vllm_rollout__utils.py",
"verl__models__weight_loader_registry.py",
"verl__utils__tracking.py",
"verl__trainer__ppo__core_algos.py"
],
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"verl__models__mcore__qwen2_5_vl__attention.py",
"verl__protocol.py",
"verl__utils__transformers_compat.py",
"verl__workers__rollout__sglang_rollout__http_server_engine.py",
"verl__utils__import_utils.py",
"verl__models__qwen2__megatron__layers__parallel_linear.py",
"verl__models__qwen2__megatron__layers__parallel_rmsnorm.py",
"verl__models__qwen2__megatron__checkpoint_utils__qwen2_saver.py",
"verl__workers__critic__dp_critic.py",
"verl__checkpoint_engine__nccl_checkpoint_engine.py",
"verl__utils__megatron__optimizer.py",
"verl__models__qwen2__megatron__layers__parallel_decoder.py",
"verl__models__llama__megatron__checkpoint_utils__llama_loader_depracated.py",
"verl__utils__logging_utils.py",
"verl__trainer__ppo__reward.py",
"verl__interactions__base.py",
"verl__models__mcore__bridge.py",
"verl__workers__config__actor.py",
"verl__single_controller__base__worker_group.py",
"verl__utils__memory_utils.py"
],
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"sequence_curriculum": [
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1024
],
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"stage_summaries": [
{
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},
{
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}
]
}