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End of training

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  1. README.md +7 -1
  2. config.json +29 -0
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: llama3
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  base_model: meta-llama/Meta-Llama-3-8B
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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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  model-index:
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  - name: llama10p
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  results: []
@@ -15,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama10p
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- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1320
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  license: llama3
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  base_model: meta-llama/Meta-Llama-3-8B
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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: llama10p
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  results: []
 
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  # llama10p
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the HuggingFaceH4/ultrachat_200k dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1320
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config.json ADDED
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+ {
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+ "_name_or_path": "meta-llama/Meta-Llama-3-8B",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 128000,
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+ "eos_token_id": 128001,
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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": 8192,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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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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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.41.1",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }