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End of training

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Files changed (4) hide show
  1. README.md +16 -10
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: apache-2.0
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  base_model: alignment-handbook/zephyr-7b-sft-full
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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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  model-index:
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  - name: zephyr-7b-dpo-full
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  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-dpo-full
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5023
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- - Rewards/chosen: -1.0875
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- - Rewards/rejected: -2.0687
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- - Rewards/accuracies: 0.7695
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- - Rewards/margins: 0.9812
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- - Logps/rejected: -469.5586
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- - Logps/chosen: -371.3432
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- - Logits/rejected: -0.3666
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- - Logits/chosen: -1.1044
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  ## Model description
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  license: apache-2.0
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  base_model: alignment-handbook/zephyr-7b-sft-full
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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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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
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  - name: zephyr-7b-dpo-full
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  results: []
 
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  # zephyr-7b-dpo-full
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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 HuggingFaceH4/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5018
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+ - Rewards/chosen: -1.1027
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+ - Rewards/rejected: -2.0673
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+ - Rewards/accuracies: 0.7656
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+ - Rewards/margins: 0.9646
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+ - Logps/rejected: -469.4237
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+ - Logps/chosen: -372.8636
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+ - Logits/rejected: -0.4162
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+ - Logits/chosen: -1.1470
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,18 @@
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  {
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  "epoch": 1.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.5374924991918907,
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  "train_runtime": 7413.7576,
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  "train_samples": 61134,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -1.1469733715057373,
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+ "eval_logits/rejected": -0.4162125587463379,
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+ "eval_logps/chosen": -372.8635559082031,
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+ "eval_logps/rejected": -469.4237060546875,
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+ "eval_loss": 0.5017749071121216,
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+ "eval_rewards/accuracies": 0.765625,
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+ "eval_rewards/chosen": -1.1026902198791504,
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+ "eval_rewards/margins": 0.9646469354629517,
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+ "eval_rewards/rejected": -2.0673370361328125,
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+ "eval_runtime": 91.4963,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 21.859,
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+ "eval_steps_per_second": 0.35,
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  "train_loss": 0.5374924991918907,
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  "train_runtime": 7413.7576,
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  "train_samples": 61134,
config.json CHANGED
@@ -21,6 +21,6 @@
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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": false,
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  "vocab_size": 32000
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  }
 
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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 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.0,
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+ "eval_logits/chosen": -1.1469733715057373,
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+ "eval_logits/rejected": -0.4162125587463379,
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+ "eval_logps/chosen": -372.8635559082031,
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+ "eval_logps/rejected": -469.4237060546875,
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+ "eval_loss": 0.5017749071121216,
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+ "eval_rewards/accuracies": 0.765625,
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+ "eval_rewards/chosen": -1.1026902198791504,
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+ "eval_rewards/margins": 0.9646469354629517,
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+ "eval_rewards/rejected": -2.0673370361328125,
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+ "eval_runtime": 91.4963,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 21.859,
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+ "eval_steps_per_second": 0.35
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+ }