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End of training

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README.md CHANGED
@@ -2,10 +2,13 @@
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  license: apache-2.0
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  library_name: peft
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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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  base_model: alignment-handbook/zephyr-7b-sft-full
 
 
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  model-index:
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  - name: zephyr-dpop-qlora-gpt4-5e-6-epoch3
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  results: []
@@ -16,22 +19,22 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-dpop-qlora-gpt4-5e-6-epoch3
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- This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 14.5955
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- - Positive Losses: 143.9389
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- - Dpo Losses: 0.6869
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- - Rewards/chosen: -1.4291
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- - Rewards/rejected: -2.0251
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- - Rewards/accuracies: 0.6627
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- - Rewards/margins: 0.5959
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- - Rewards/margins Max: 2.2953
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- - Rewards/margins Min: -1.1073
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- - Rewards/margins Std: 1.5052
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- - Logps/rejected: -461.6887
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- - Logps/chosen: -428.1342
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- - Logits/rejected: -2.2738
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- - Logits/chosen: -2.3165
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  ## Model description
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  license: apache-2.0
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  library_name: peft
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  tags:
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+ - alignment-handbook
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  - trl
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  - dpo
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  - generated_from_trainer
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  base_model: alignment-handbook/zephyr-7b-sft-full
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+ datasets:
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+ - generation/GPT4
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  model-index:
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  - name: zephyr-dpop-qlora-gpt4-5e-6-epoch3
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  results: []
 
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  # zephyr-dpop-qlora-gpt4-5e-6-epoch3
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/GPT4 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 14.3852
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+ - Positive Losses: 141.6597
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+ - Dpo Losses: 0.6849
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+ - Rewards/chosen: -1.4061
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+ - Rewards/rejected: -2.0012
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+ - Rewards/accuracies: 0.6667
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+ - Rewards/margins: 0.5951
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+ - Rewards/margins Max: 2.2885
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+ - Rewards/margins Min: -1.0995
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+ - Rewards/margins Std: 1.4978
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+ - Logps/rejected: -459.3069
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+ - Logps/chosen: -425.8328
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+ - Logits/rejected: -2.2783
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+ - Logits/chosen: -2.3207
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,23 @@
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  {
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  "epoch": 3.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.36563416943303856,
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  "train_runtime": 9271.2095,
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  "train_samples": 5678,
 
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  {
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  "epoch": 3.0,
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+ "eval_dpo_losses": 0.6849049925804138,
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+ "eval_logits/chosen": -2.3206958770751953,
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+ "eval_logits/rejected": -2.278275489807129,
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+ "eval_logps/rejected": -459.3068542480469,
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+ "eval_loss": 14.385190963745117,
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+ "eval_positive_losses": 141.65965270996094,
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+ "eval_rewards/accuracies": 0.6666666865348816,
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+ "eval_rewards/chosen": -1.406116247177124,
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+ "eval_rewards/margins": 0.5951257348060608,
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+ "eval_rewards/margins_max": 2.288450241088867,
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+ "eval_rewards/margins_min": -1.0994930267333984,
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+ "eval_rewards/rejected": -2.00124192237854,
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+ "eval_runtime": 280.9524,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 7.119,
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+ "eval_steps_per_second": 0.224,
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  "train_loss": 0.36563416943303856,
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  "train_runtime": 9271.2095,
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  "train_samples": 5678,
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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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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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 8,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "bfloat16",
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
eval_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 3.0,
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+ "eval_logits/chosen": -2.3206958770751953,
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+ "eval_loss": 14.385190963745117,
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+ "eval_positive_losses": 141.65965270996094,
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+ "eval_rewards/accuracies": 0.6666666865348816,
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+ "eval_rewards/chosen": -1.406116247177124,
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+ "eval_rewards/margins_min": -1.0994930267333984,
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+ "eval_rewards/rejected": -2.00124192237854,
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+ "eval_runtime": 280.9524,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 7.119,
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+ "eval_steps_per_second": 0.224
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+ }
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