hZzy commited on
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1 Parent(s): d476c28

End of training

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Files changed (4) hide show
  1. README.md +14 -7
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -2,9 +2,16 @@
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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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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.5-5e6
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  results: []
@@ -16,14 +23,14 @@ 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/e9puntse)
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  # qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.5-5e6
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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: 2.2561
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- - Logps: -80.0661
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- - Logits: -0.6169
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- - Objective: 2.2424
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- - Dpo Loss: 1.3284
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- - Regularize: 2.2424
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  - Ranking Simple: 0.5134
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  - Ranking Idealized: 0.5248
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  - Ranking Idealized Expo: 0.5093
 
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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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+ - 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-L2EXPO-EXPERIMENT-0.5-5e6
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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/e9puntse)
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  # qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.5-5e6
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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: 2.2556
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+ - Logps: -80.0690
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+ - Logits: -0.6172
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+ - Objective: 2.2419
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+ - Dpo Loss: 1.3282
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+ - Regularize: 2.2419
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  - Ranking Simple: 0.5134
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  - Ranking Idealized: 0.5248
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  - Ranking Idealized Expo: 0.5093
all_results.json CHANGED
@@ -1,5 +1,18 @@
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  {
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  "epoch": 4.988190836088805,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.7624400413849137,
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  "train_runtime": 35099.769,
 
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  {
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  "epoch": 4.988190836088805,
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+ "eval_dpo_loss": 1.3281691074371338,
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+ "eval_logits": -0.6171583533287048,
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+ "eval_logps": -80.06896209716797,
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+ "eval_loss": 2.2556095123291016,
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+ "eval_objective": 2.241896152496338,
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+ "eval_ranking_idealized": 0.5247933864593506,
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+ "eval_ranking_idealized_expo": 0.5092975497245789,
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+ "eval_ranking_simple": 0.5134297609329224,
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+ "eval_regularize": 2.241896152496338,
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+ "eval_runtime": 259.631,
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+ "eval_samples": 5790,
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+ "eval_samples_per_second": 22.301,
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+ "eval_steps_per_second": 0.932,
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  "total_flos": 0.0,
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  "train_loss": 0.7624400413849137,
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  "train_runtime": 35099.769,
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 ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 4.988190836088805,
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+ "eval_dpo_loss": 1.3281691074371338,
4
+ "eval_logits": -0.6171583533287048,
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+ "eval_logps": -80.06896209716797,
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+ "eval_loss": 2.2556095123291016,
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+ "eval_objective": 2.241896152496338,
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+ "eval_ranking_idealized": 0.5247933864593506,
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+ "eval_ranking_idealized_expo": 0.5092975497245789,
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+ "eval_ranking_simple": 0.5134297609329224,
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+ "eval_regularize": 2.241896152496338,
12
+ "eval_runtime": 259.631,
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+ "eval_samples": 5790,
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+ "eval_samples_per_second": 22.301,
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+ "eval_steps_per_second": 0.932
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+ }