End of training
Browse files- README.md +1 -1
- adapter_model.bin +1 -1
- config.json +1 -2
- pytorch_model-00001-of-00004.bin +1 -1
- pytorch_model-00002-of-00004.bin +1 -1
- pytorch_model-00003-of-00004.bin +1 -1
README.md
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/romain_fnc-xventures/Gradients-On-Demand/runs/
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/romain_fnc-xventures/Gradients-On-Demand/runs/b1pe3qef)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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adapter_model.bin
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "Intel/neural-chat-7b-v3-3",
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"architectures": [
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"MistralForCausalLM"
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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": "
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"transformers_version": "4.46.0",
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"use_cache": false,
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"vocab_size": 32000
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{
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"_name_or_path": "Intel/neural-chat-7b-v3-3",
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"architectures": [
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"MistralForCausalLM"
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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": "4.46.0",
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"use_cache": false,
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"vocab_size": 32000
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pytorch_model-00001-of-00004.bin
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