YeongminKim commited on
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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
@@ -3,9 +3,15 @@ library_name: transformers
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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-alpha_0.5_batch32
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  results: []
@@ -16,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-dpo-full-alpha_0.5_batch32
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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: 0.7743
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- - Rewards/chosen: -1.3347
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- - Rewards/rejected: -2.3725
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- - Rewards/accuracies: 0.7718
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- - Rewards/margins: 1.0378
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- - Logps/rejected: -497.4510
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- - Logps/chosen: -415.4467
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- - Logits/rejected: 1.0747
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- - Logits/chosen: -0.2184
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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-alpha_0.5_batch32
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  results: []
 
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  # zephyr-7b-dpo-full-alpha_0.5_batch32
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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: 0.7742
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+ - Rewards/chosen: -1.3339
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+ - Rewards/rejected: -2.3724
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+ - Rewards/accuracies: 0.7738
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+ - Rewards/margins: 1.0385
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+ - Logps/rejected: -497.4416
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+ - Logps/chosen: -415.3672
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+ - Logits/rejected: 1.0737
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+ - Logits/chosen: -0.2206
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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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  "total_flos": 0.0,
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  "train_loss": 0.45257438286507334,
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  "train_runtime": 23936.1745,
 
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  {
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  "epoch": 1.0,
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+ "eval_logits/chosen": -0.2205861508846283,
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+ "eval_logits/rejected": 1.0736942291259766,
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+ "eval_logps/chosen": -415.36724853515625,
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+ "eval_logps/rejected": -497.4416198730469,
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+ "eval_loss": 0.7742469906806946,
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+ "eval_rewards/accuracies": 0.773809552192688,
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+ "eval_rewards/chosen": -1.33390212059021,
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+ "eval_rewards/margins": 1.0384857654571533,
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+ "eval_rewards/rejected": -2.3723878860473633,
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+ "eval_runtime": 423.4241,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 4.723,
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+ "eval_steps_per_second": 0.149,
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  "total_flos": 0.0,
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  "train_loss": 0.45257438286507334,
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  "train_runtime": 23936.1745,
config.json CHANGED
@@ -22,6 +22,6 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.44.2",
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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": "4.44.2",
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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": -0.2205861508846283,
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+ "eval_logits/rejected": 1.0736942291259766,
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+ "eval_logps/chosen": -415.36724853515625,
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+ "eval_logps/rejected": -497.4416198730469,
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+ "eval_loss": 0.7742469906806946,
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+ "eval_rewards/accuracies": 0.773809552192688,
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+ "eval_rewards/chosen": -1.33390212059021,
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+ "eval_rewards/margins": 1.0384857654571533,
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+ "eval_rewards/rejected": -2.3723878860473633,
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+ "eval_runtime": 423.4241,
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+ "eval_samples": 2000,
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+ "eval_samples_per_second": 4.723,
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+ "eval_steps_per_second": 0.149
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+ }