End of training
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- config.json +1 -1
README.md
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license: apache-2.0
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base_model: ondevicellm/tinyllama_moe_sft_ultrachat200k_v2_epochs5
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: tinyllama_moe_dpo_ultrachat_v2_epochs5
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results: []
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# tinyllama_moe_dpo_ultrachat_v2_epochs5
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This model is a fine-tuned version of [ondevicellm/tinyllama_moe_sft_ultrachat200k_v2_epochs5](https://huggingface.co/ondevicellm/tinyllama_moe_sft_ultrachat200k_v2_epochs5) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.5739
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- Rewards/chosen: -1.1929
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license: apache-2.0
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base_model: ondevicellm/tinyllama_moe_sft_ultrachat200k_v2_epochs5
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: tinyllama_moe_dpo_ultrachat_v2_epochs5
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results: []
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# tinyllama_moe_dpo_ultrachat_v2_epochs5
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This model is a fine-tuned version of [ondevicellm/tinyllama_moe_sft_ultrachat200k_v2_epochs5](https://huggingface.co/ondevicellm/tinyllama_moe_sft_ultrachat200k_v2_epochs5) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5739
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- Rewards/chosen: -1.1929
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache":
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"vocab_size": 32000
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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