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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ datasets:
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+ - Anthropic/hh-rlhf
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+ base_model:
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+ - alignment-handbook/zephyr-7b-sft-full
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+ library_name: peft
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+ tags:
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+ - lora
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+ - peft
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+ - dpo
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+ - alignment
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+ ---
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+
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+ # Zephyr 7B SFT aligned with DPO on HH-RLHF with β=0.01
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+
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+ This repo contains LoRA adapter created by aligning [Zephyr 7B SFT](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the [Anthropic HH-RLHF](https://huggingface.co/datasets/Anthropic/hh-rlhf) dataset using Direct Preference Optimization (DPO).
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+ It was trained as a series of models for studying DPO alignment.
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+
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+ ## Model details
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+
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+ * Base model: [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full)
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+ * Preference dataset: [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf)
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+ * DPO beta: 0.01
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+ * Training framework: PEFT/LoRA
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+
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+ See the base model card for usage and chat template details.
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+
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+ ## Training hyperparameters
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+
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+ * Epochs: 1
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+ * Batch size: 16
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+ * Learning rate: 5e-06
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+ * Learning rate scheduler: cosine
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+ * Learning rate warmup ratio: 0.1
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+ * Gradient accumulation: 2
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+ * LoRA:
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+ * rank: 64
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+ * alpha: 64
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+ * dropout: 0.05
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+ * target modules: [q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj]
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+
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+ ## License
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+
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+ This adapter is released under the Apache License 2.0.
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+
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+ ## Citation
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+
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+ If this work was helpful, please cite:
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+ ```
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+ TBA
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+ ```
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "down_proj",
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+ "k_proj",
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+ "v_proj",
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+ "q_proj",
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+ "gate_proj",
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+ "o_proj",
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+ "up_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
adapter_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 335605144
config.json ADDED
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+ {
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+ "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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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": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.42.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
special_tokens_map.json ADDED
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+ {
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+ "bos_token": {
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+ "content": "<s>",
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+ "lstrip": false,
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+ "single_word": false
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+ "unk_token": {
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+ "content": "<unk>",
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+ }
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+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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+ {
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+ "add_bos_token": true,
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+ "added_tokens_decoder": {
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+ "special": true
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+ },
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+ "1": {
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+ "2": {
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [],
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+ "bos_token": "<s>",
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "</s>",
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+ "legacy": true,
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+ "model_max_length": 2048,
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+ "pad_token": "</s>",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }