yihanwang617 commited on
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End of training

Browse files
README.md CHANGED
@@ -1,8 +1,11 @@
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  ---
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  base_model: meta-llama/Meta-Llama-3-8B
 
 
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  library_name: peft
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  license: llama3
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  tags:
 
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  - trl
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  - sft
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  - generated_from_trainer
@@ -16,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama-3-qlora-wizard-processed-indicator-0.6
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6736
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  ## Model description
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  ---
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  base_model: meta-llama/Meta-Llama-3-8B
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+ datasets:
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+ - yihanwang617/WizardLM_70k_processed_indicator_4k
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  library_name: peft
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  license: llama3
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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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  # llama-3-qlora-wizard-processed-indicator-0.6
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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 yihanwang617/WizardLM_70k_processed_indicator_4k dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6735
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  ## Model description
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all_results.json CHANGED
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  {
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  "epoch": 1.0,
 
 
 
 
 
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  {
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  "epoch": 1.0,
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  "total_flos": 4801486812086272.0,
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  "train_loss": 0.7253576234998405,
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  "train_runtime": 22925.9932,
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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+ "attention_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.40.1",
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+ "use_cache": true,
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+ "vocab_size": 128258
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+ }
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