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End of training

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  1. README.md +16 -8
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -1,9 +1,17 @@
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  ---
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  library_name: transformers
 
 
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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: genv3pair1NoGT_1.5B_cdpo_lm1_ebs32_lr5e-07_beta0.4_epoch8.0_42
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  results: []
@@ -14,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # genv3pair1NoGT_1.5B_cdpo_lm1_ebs32_lr5e-07_beta0.4_epoch8.0_42
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1826
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- - Rewards/chosen: 4.3610
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  - Rewards/rejected: 0.0
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  - Rewards/accuracies: 0.9250
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- - Rewards/margins: 4.3610
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- - Logps/rejected: -32.5126
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- - Logps/chosen: -19.1676
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- - Logits/rejected: -3.4642
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- - Logits/chosen: -3.3984
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  ## Model description
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-1.5B-Instruct
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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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+ - YuchenLi01/MATH_Qwen2.5-1.5BInstruct_DPO_MoreUniqueResponseNoGTv3pair1
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  model-index:
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  - name: genv3pair1NoGT_1.5B_cdpo_lm1_ebs32_lr5e-07_beta0.4_epoch8.0_42
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  results: []
 
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  # genv3pair1NoGT_1.5B_cdpo_lm1_ebs32_lr5e-07_beta0.4_epoch8.0_42
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the YuchenLi01/MATH_Qwen2.5-1.5BInstruct_DPO_MoreUniqueResponseNoGTv3pair1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1849
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+ - Rewards/chosen: 4.3318
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  - Rewards/rejected: 0.0
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  - Rewards/accuracies: 0.9250
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+ - Rewards/margins: 4.3318
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+ - Logps/rejected: -32.6177
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+ - Logps/chosen: -19.2407
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+ - Logits/rejected: -3.4640
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+ - Logits/chosen: -3.3979
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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": 8.0,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.05916496973182985,
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  "train_runtime": 12200.893,
 
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  {
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  "epoch": 8.0,
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+ "eval_logits/chosen": -3.3978519439697266,
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+ "eval_logits/rejected": -3.4640097618103027,
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+ "eval_logps/chosen": -19.240652084350586,
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+ "eval_logps/rejected": -32.617706298828125,
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+ "eval_loss": 0.18487206101417542,
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+ "eval_rewards/accuracies": 0.925000011920929,
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+ "eval_rewards/chosen": 4.331756114959717,
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+ "eval_rewards/margins": 4.331756114959717,
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+ "eval_rewards/rejected": 0.0,
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+ "eval_runtime": 27.7567,
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+ "eval_samples": 310,
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+ "eval_samples_per_second": 11.168,
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+ "eval_steps_per_second": 0.36,
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  "total_flos": 0.0,
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  "train_loss": 0.05916496973182985,
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  "train_runtime": 12200.893,
config.json CHANGED
@@ -23,7 +23,7 @@
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  "tie_word_embeddings": true,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.45.2",
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- "use_cache": false,
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  "use_sliding_window": false,
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  "vocab_size": 151936
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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": "4.45.2",
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+ "use_cache": true,
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  "use_sliding_window": false,
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  "vocab_size": 151936
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 8.0,
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+ "eval_logits/chosen": -3.3978519439697266,
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+ "eval_logits/rejected": -3.4640097618103027,
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+ "eval_logps/chosen": -19.240652084350586,
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+ "eval_logps/rejected": -32.617706298828125,
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+ "eval_loss": 0.18487206101417542,
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+ "eval_rewards/accuracies": 0.925000011920929,
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+ "eval_rewards/chosen": 4.331756114959717,
10
+ "eval_rewards/margins": 4.331756114959717,
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+ "eval_rewards/rejected": 0.0,
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+ "eval_runtime": 27.7567,
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+ "eval_samples": 310,
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+ "eval_samples_per_second": 11.168,
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+ "eval_steps_per_second": 0.36
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+ }