AmberYifan commited on
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End of training

Browse files
README.md CHANGED
@@ -2,9 +2,16 @@
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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-sft-safeDPO
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  results: []
@@ -15,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-sft-safeDPO
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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: 0.5426
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- - Rewards/chosen: -2.2658
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- - Rewards/rejected: -2.9947
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- - Rewards/accuracies: 0.7215
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- - Rewards/margins: 0.7289
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- - Logps/rejected: -469.7990
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- - Logps/chosen: -389.3405
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- - Logits/rejected: -1.7796
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- - Logits/chosen: -1.7904
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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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+ - AmberYifan/safetyQA_DPO
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  model-index:
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  - name: zephyr-7b-sft-safeDPO
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  results: []
 
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  # zephyr-7b-sft-safeDPO
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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 and the AmberYifan/safetyQA_DPO datasets.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5427
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+ - Rewards/chosen: -2.2653
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+ - Rewards/rejected: -2.9944
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+ - Rewards/accuracies: 0.7197
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+ - Rewards/margins: 0.7291
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+ - Logps/rejected: -469.7640
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+ - Logps/chosen: -389.2892
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+ - Logits/rejected: -1.7787
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+ - Logits/chosen: -1.7892
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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": 0.55459001399405,
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  "train_runtime": 38266.551,
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  "train_samples": 111134,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -1.7892440557479858,
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+ "eval_logits/rejected": -1.7786749601364136,
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+ "eval_logps/chosen": -389.2891845703125,
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+ "eval_logps/rejected": -469.7640075683594,
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+ "eval_loss": 0.5426768064498901,
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+ "eval_rewards/accuracies": 0.719748854637146,
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+ "eval_rewards/chosen": -2.265324115753174,
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+ "eval_rewards/margins": 0.7290500402450562,
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+ "eval_rewards/rejected": -2.9943742752075195,
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+ "eval_runtime": 524.2847,
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+ "eval_samples": 7000,
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+ "eval_samples_per_second": 13.352,
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+ "eval_steps_per_second": 0.418,
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  "train_loss": 0.55459001399405,
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  "train_runtime": 38266.551,
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  "train_samples": 111134,
config.json CHANGED
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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": -1.7892440557479858,
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+ "eval_logits/rejected": -1.7786749601364136,
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+ "eval_logps/chosen": -389.2891845703125,
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+ "eval_logps/rejected": -469.7640075683594,
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+ "eval_loss": 0.5426768064498901,
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+ "eval_rewards/accuracies": 0.719748854637146,
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+ "eval_rewards/chosen": -2.265324115753174,
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+ "eval_rewards/margins": 0.7290500402450562,
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+ "eval_rewards/rejected": -2.9943742752075195,
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+ "eval_runtime": 524.2847,
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+ "eval_samples": 7000,
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+ "eval_samples_per_second": 13.352,
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+ "eval_steps_per_second": 0.418
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+ }
runs/May05_19-13-15_gilbreth-j001.rcac.purdue.edu/events.out.tfevents.1714991721.gilbreth-j001.rcac.purdue.edu.6343.1 ADDED
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+ size 828