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README.md ADDED
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+ ---
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+ license: mit
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+ datasets:
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+ - normster/RealGuardrails
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+ base_model:
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+ - allenai/OLMo-2-1124-7B
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+ ---
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+
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+ # RealGuardrails Models
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+
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+ This model was trained on the [RealGuardrails](https://huggingface.co/datasets/normster/RealGuardrails) dataset, an instruction-tuning dataset focused on improving system prompt adherence and precedence. In particular, it was trained via SFT on the `simplemix` split of ~150K examples using our custom training library [torchllms](https://github.com/normster/torchllms).
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+
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+ ## Training Hyperparameters
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+
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+ | Name | Value |
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+ | :--- | :--- |
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+ | optimizer | AdamW |
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+ | batch size | 128 |
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+ | learning rate | 2e-5 |
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+ | lr scheduler | cosine with 200 warmup steps |
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+ | betas | (0.9, 0.999) |
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+ | eps | 1e-8 |
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+ | weight decay | 0 |
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+ | epochs | 1 |
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+ | max grad norm | 1.0 |
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+ | precision | bf16 |
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+ | max length | 4096 |
config.json ADDED
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+ {
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+ "architectures": [
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+ "Olmo2ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 100257,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 4096,
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+ "model_type": "olmo2",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pad_token_id": 100277,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 500000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.47.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 100352
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+ }
merges.txt ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "pad_token": "<|pad|>",
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "unk_token": "<|endoftext|>",
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+ "chat_template": "{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n\n{%- if system_message is defined %}\n {{- \"<|system|>\\n\" + system_message.strip() + \"<|endoftext|>\" }}\n{%- endif %}\n\n{%- for message in loop_messages %}\n {%- set content = message[\"content\"].strip() %}\n {%- if message[\"role\"] == \"user\" %}\n {{- \"<|user|>\\n\" + content + \"<|endoftext|>\" }}\n {%- elif message[\"role\"] == \"assistant\" %}\n {{- \"<|assistant|>\\n\" + content + \"<|endoftext|>\" }}\n {%- elif message[\"role\"] == \"tool\" %}\n {{- \"<|tool|>\\n\" + content + \"<|endoftext|>\" }}\n {%- else %}\n {{- raise_exception(\"Unknown message role: \" + message[\"role\"]) }}\n {%- endif %}\n{%- endfor %}\n\n{%- if add_generation_prompt %}\n {{- \"<|assistant|>\\n\" }}\n{%- endif %}"
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+ }
vocab.json ADDED
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