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https://github.com/pese-git/llm-arch-research.git
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3e4815fcc6
- add universal runner run_llm_experiment.py with JSON-config driven LLM training / generation - add configs for gpt, gpt2, llama (training/generation) - remove individual train/generate scripts for each model - update README with simple how-to for experiments block BREAKING CHANGE: all llm_only experiments now run only through run_llm_experiment.py; legacy scripts removed
23 lines
697 B
JSON
23 lines
697 B
JSON
{
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"bpe_tokenizer": "checkpoints/bpe_tokenizer.json",
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"bpe_vocab_size": 1000,
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"bpe_special_tokens": ["<pad>", "<unk>", "<bos>", "<eos>"],
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"test_prompts": ["Open source AI", "What is Llama?"],
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"model_config": {
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"vocab_size": null,
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"embed_dim": 256,
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"num_heads": 4,
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"num_layers": 4,
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"max_position_embeddings": 128,
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"dropout": 0.1
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},
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"model_weights": "checkpoints/llama-bpe/model.pt",
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"model_config_path": "checkpoints/llama-bpe/config.json",
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"training": {
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"learning_rate": 0.0003,
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"batch_size": 2,
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"num_epochs": 3,
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"warmup_steps": 50
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},
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"log_path": "checkpoints/llama_only_training_logs.json"
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} |