hZzy commited on
Commit
63d5d66
1 Parent(s): 10246fa

End of training

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Files changed (4) hide show
  1. README.md +16 -9
  2. all_results.json +3 -3
  3. config.json +1 -1
  4. eval_results.json +4 -4
README.md CHANGED
@@ -2,11 +2,18 @@
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  license: apache-2.0
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  base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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  tags:
 
 
 
 
 
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  - trl
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  - expo
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  - alignment-handbook
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  - ndcg
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  - generated_from_trainer
 
 
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  model-index:
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  - name: qwen2.5-0.5b-expo-DPO-ES-TRY
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  results: []
@@ -18,18 +25,18 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/jz5qh3m8)
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  # qwen2.5-0.5b-expo-DPO-ES-TRY
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- This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6965
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- - Logps: -101.5796
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- - Logits: -1.8981
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- - Objective: 0.7080
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- - Dpo Loss: 0.7080
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- - Regularize: 0.7080
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- - Ranking Simple: 0.5279
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  - Ranking Idealized: 0.5888
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  - Ranking Idealized Expo: 0.5093
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- - Dpo Wo Beta: -2.2649
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  ## Model description
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  license: apache-2.0
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  base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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  tags:
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+ - alignment-handbook
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+ - ndcg
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+ - trl
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+ - expo
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+ - generated_from_trainer
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  - trl
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  - expo
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  - alignment-handbook
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  - ndcg
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  - generated_from_trainer
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+ datasets:
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+ - hZzy/train_pairwise
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  model-index:
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  - name: qwen2.5-0.5b-expo-DPO-ES-TRY
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  results: []
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/jz5qh3m8)
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  # qwen2.5-0.5b-expo-DPO-ES-TRY
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+ This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on the hZzy/train_pairwise dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6866
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+ - Logps: -91.4116
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+ - Logits: -1.5339
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+ - Objective: 0.6926
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+ - Dpo Loss: 0.6926
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+ - Regularize: 0.6926
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+ - Ranking Simple: 0.5052
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  - Ranking Idealized: 0.5888
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  - Ranking Idealized Expo: 0.5093
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+ - Dpo Wo Beta: -0.9551
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  ## Model description
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all_results.json CHANGED
@@ -10,10 +10,10 @@
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  "eval_ranking_idealized_expo": 0.5092975497245789,
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  "eval_ranking_simple": 0.5051652789115906,
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  "eval_regularize": 0.6925506591796875,
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- "eval_runtime": 210.5773,
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  "eval_samples": 5790,
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- "eval_samples_per_second": 27.496,
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- "eval_steps_per_second": 1.149,
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  "total_flos": 0.0,
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  "train_loss": 0.29064991334338247,
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  "train_runtime": 6418.0206,
 
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  "eval_ranking_idealized_expo": 0.5092975497245789,
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  "eval_ranking_simple": 0.5051652789115906,
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  "eval_regularize": 0.6925506591796875,
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+ "eval_runtime": 210.7989,
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  "eval_samples": 5790,
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+ "eval_samples_per_second": 27.467,
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+ "eval_steps_per_second": 1.148,
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  "total_flos": 0.0,
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  "train_loss": 0.29064991334338247,
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  "train_runtime": 6418.0206,
config.json CHANGED
@@ -23,7 +23,7 @@
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  "tie_word_embeddings": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.42.0",
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- "use_cache": false,
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  "use_mrope": false,
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  "use_sliding_window": false,
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  "vocab_size": 151665
 
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  "tie_word_embeddings": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.42.0",
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+ "use_cache": true,
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  "use_mrope": false,
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  "use_sliding_window": false,
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  "vocab_size": 151665
eval_results.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "epoch": 0.8162494095418045,
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  "eval_dpo_loss": 0.6925506591796875,
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  "eval_dpo_wo_beta": -0.9551481008529663,
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  "eval_logits": -1.5338705778121948,
@@ -10,8 +10,8 @@
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  "eval_ranking_idealized_expo": 0.5092975497245789,
11
  "eval_ranking_simple": 0.5051652789115906,
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  "eval_regularize": 0.6925506591796875,
13
- "eval_runtime": 210.5773,
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  "eval_samples": 5790,
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- "eval_samples_per_second": 27.496,
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- "eval_steps_per_second": 1.149
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  }
 
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  {
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+ "epoch": 1.83656117146906,
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  "eval_dpo_loss": 0.6925506591796875,
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  "eval_dpo_wo_beta": -0.9551481008529663,
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  "eval_logits": -1.5338705778121948,
 
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  "eval_ranking_idealized_expo": 0.5092975497245789,
11
  "eval_ranking_simple": 0.5051652789115906,
12
  "eval_regularize": 0.6925506591796875,
13
+ "eval_runtime": 210.7989,
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  "eval_samples": 5790,
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+ "eval_samples_per_second": 27.467,
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+ "eval_steps_per_second": 1.148
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  }