End of training
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README.md
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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
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@@ -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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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
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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,
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{
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"epoch": 1.0,
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"eval_loss": 0.6735442876815796,
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"eval_runtime": 47.4166,
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"eval_samples": 500,
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"eval_samples_per_second": 10.545,
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"eval_steps_per_second": 0.675,
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"total_flos": 4801486812086272.0,
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"train_loss": 0.7253576234998405,
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"train_runtime": 22925.9932,
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config.json
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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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"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": "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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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.6735442876815796,
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"eval_runtime": 47.4166,
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"eval_samples": 500,
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"eval_samples_per_second": 10.545,
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"eval_steps_per_second": 0.675
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}
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runs/Sep06_16-22-59_nova.cs.ucla.edu/events.out.tfevents.1725688243.nova.cs.ucla.edu.2404961.1
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size 359
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runs/Sep06_22-01-38_nova.cs.ucla.edu/events.out.tfevents.1725685482.nova.cs.ucla.edu.2653377.0
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