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End of training

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  1. README.md +6 -2
  2. config.json +1 -1
README.md CHANGED
@@ -1,11 +1,15 @@
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  ---
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  base_model: ondevicellm/tinyllama_mole_v1
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  tags:
 
 
 
 
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  - trl
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  - sft
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  - generated_from_trainer
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  datasets:
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- - generator
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  model-index:
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  - name: tinyllama_mole_sft_router05_lr1e-4_ep3
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  results: []
@@ -16,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # tinyllama_mole_sft_router05_lr1e-4_ep3
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- This model is a fine-tuned version of [ondevicellm/tinyllama_mole_v1](https://huggingface.co/ondevicellm/tinyllama_mole_v1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.1035
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  ---
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  base_model: ondevicellm/tinyllama_mole_v1
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  tags:
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+ - alignment-handbook
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+ - trl
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+ - sft
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+ - generated_from_trainer
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  - trl
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  - sft
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  - generated_from_trainer
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  datasets:
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+ - HuggingFaceH4/ultrachat_200k
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  model-index:
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  - name: tinyllama_mole_sft_router05_lr1e-4_ep3
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  results: []
 
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  # tinyllama_mole_sft_router05_lr1e-4_ep3
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+ This model is a fine-tuned version of [ondevicellm/tinyllama_mole_v1](https://huggingface.co/ondevicellm/tinyllama_mole_v1) on the HuggingFaceH4/ultrachat_200k dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.1035
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config.json CHANGED
@@ -36,6 +36,6 @@
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.37.0",
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  "trust_remote_code": true,
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- "use_cache": false,
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  "vocab_size": 32000
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  }
 
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.37.0",
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  "trust_remote_code": true,
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+ "use_cache": true,
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  "vocab_size": 32000
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  }