tanliboy commited on
Commit
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1 Parent(s): daad045

End of training

Browse files
README.md CHANGED
@@ -3,9 +3,16 @@ library_name: transformers
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  license: llama3.2
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  base_model: tanliboy/llama-3.2-3b-sft-2
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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: llama-3.2-3b-dpo-2
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  results: []
@@ -16,17 +23,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama-3.2-3b-dpo-2
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- This model is a fine-tuned version of [tanliboy/llama-3.2-3b-sft-2](https://huggingface.co/tanliboy/llama-3.2-3b-sft-2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5808
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- - Rewards/chosen: 1.8125
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- - Rewards/rejected: -4.0822
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- - Rewards/accuracies: 0.7880
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- - Rewards/margins: 5.8947
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- - Logps/rejected: -387.3112
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- - Logps/chosen: -337.8669
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- - Logits/rejected: 0.2355
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- - Logits/chosen: 0.1785
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  ## Model description
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  license: llama3.2
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  base_model: tanliboy/llama-3.2-3b-sft-2
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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/orca_dpo_pairs
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+ - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
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  - name: llama-3.2-3b-dpo-2
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  results: []
 
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  # llama-3.2-3b-dpo-2
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+ This model is a fine-tuned version of [tanliboy/llama-3.2-3b-sft-2](https://huggingface.co/tanliboy/llama-3.2-3b-sft-2) on the HuggingFaceH4/orca_dpo_pairs and the HuggingFaceH4/ultrafeedback_binarized datasets.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5814
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+ - Rewards/chosen: 1.7432
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+ - Rewards/rejected: -4.1735
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+ - Rewards/accuracies: 0.7848
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+ - Rewards/margins: 5.9167
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+ - Logps/rejected: -388.2242
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+ - Logps/chosen: -338.5596
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+ - Logits/rejected: 0.2395
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+ - Logits/chosen: 0.1826
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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": 2.998693948628646,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.5855818307081304,
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  "train_runtime": 16735.6732,
 
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  {
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  "epoch": 2.998693948628646,
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+ "eval_logits/chosen": 0.182608962059021,
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+ "eval_logits/rejected": 0.23953425884246826,
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+ "eval_logps/chosen": -338.5595703125,
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+ "eval_logps/rejected": -388.22418212890625,
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+ "eval_loss": 0.5813568234443665,
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+ "eval_rewards/accuracies": 0.7848101258277893,
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+ "eval_rewards/chosen": 1.7432384490966797,
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+ "eval_rewards/margins": 5.916741847991943,
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+ "eval_rewards/rejected": -4.173503398895264,
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+ "eval_runtime": 69.9912,
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+ "eval_samples": 2500,
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+ "eval_samples_per_second": 35.719,
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+ "eval_steps_per_second": 1.129,
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  "total_flos": 0.0,
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  "train_loss": 0.5855818307081304,
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  "train_runtime": 16735.6732,
config.json CHANGED
@@ -35,6 +35,6 @@
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  "tie_word_embeddings": true,
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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": 128256
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  }
 
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  "tie_word_embeddings": true,
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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": 128256
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.998693948628646,
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+ "eval_logits/chosen": 0.182608962059021,
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+ "eval_logits/rejected": 0.23953425884246826,
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+ "eval_logps/chosen": -338.5595703125,
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+ "eval_logps/rejected": -388.22418212890625,
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+ "eval_loss": 0.5813568234443665,
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+ "eval_rewards/accuracies": 0.7848101258277893,
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+ "eval_rewards/chosen": 1.7432384490966797,
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+ "eval_rewards/margins": 5.916741847991943,
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+ "eval_rewards/rejected": -4.173503398895264,
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+ "eval_runtime": 69.9912,
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+ "eval_samples": 2500,
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+ "eval_samples_per_second": 35.719,
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+ "eval_steps_per_second": 1.129
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+ }
runs/Oct01_07-05-14_action-graph-trainer/events.out.tfevents.1727784078.action-graph-trainer.1627413.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 828