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OLMo-150M-as_fm3_tg_omi1_omi2-pkwCU0s1: step45000-unsharded-hf

Browse files
pretrain/OLMo-150M-as_fm3_tg_omi1_omi2-pkwCU0s1/step45000-unsharded-hf/README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: [olmo, echo-chamber, math, pretrain]
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+ ---
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+
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+ # OLMo-150M-as_fm3_tg_omi1_omi2-pkwCU0s1 / step 45000
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+
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+ OLMo checkpoint (step 45000, 47.19B tokens)
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+ from a pretraining run that reproduces *Echo Chamber: RL Post-training Amplifies Behaviors Learned in
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+ Pretraining* (arXiv:2504.07912) with the authors' code. d_model 768, 12 layers,
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+ 12 heads, mlp_ratio 8, weight tying False, Llama-2 tokenizer (32000).
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+ Mixture: see the run name (`as` Algebraic-Stack, `fm3` FineMath-3+, `tg` TinyGSM, `omi1`/`omi2`
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+ OpenMathInstruct-1/2, `mmqa` MetaMathQA, `<n>x` = n passes). Loss: cross entropy.
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+
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+ Converted with `convert_olmo_to_hf_new.py --no_fix_eos_token_id` (so `eos_token_id` is 0 as in the
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+ authors' released checkpoints); the sibling `stepN-unsharded/` holds the native OLMo checkpoint with the
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+ optimizer state.
pretrain/OLMo-150M-as_fm3_tg_omi1_omi2-pkwCU0s1/step45000-unsharded-hf/config.json ADDED
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+ {
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+ "architectures": [
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+ "OlmoForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "clip_qkv": null,
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+ "eos_token_id": 0,
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+ "hidden_act": "silu",
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "max_position_embeddings": 2048,
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+ "model_type": "olmo",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "num_key_value_heads": 12,
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+ "pad_token_id": 1,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.50.0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
pretrain/OLMo-150M-as_fm3_tg_omi1_omi2-pkwCU0s1/step45000-unsharded-hf/generation_config.json ADDED
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+ "transformers_version": "4.50.0"
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+ }
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pretrain/OLMo-150M-as_fm3_tg_omi1_omi2-pkwCU0s1/step45000-unsharded-hf/tokenizer.json ADDED
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