Ejafa commited on
Commit
27c750e
1 Parent(s): 4e7d847

End of training

Browse files
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: apache-2.0
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  base_model: Qwen/Qwen2-0.5B-Instruct
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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: qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
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  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
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- This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6598
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- - Rewards/chosen: -3.3421
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- - Rewards/rejected: -3.4735
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  - Rewards/accuracies: 0.5282
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- - Rewards/margins: 0.1314
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- - Logps/rejected: -1.3894
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- - Logps/chosen: -1.3368
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- - Logits/rejected: -5.2590
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- - Logits/chosen: -5.3573
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  ## Model description
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  license: apache-2.0
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  base_model: Qwen/Qwen2-0.5B-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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+ - princeton-nlp/llama3-ultrafeedback
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  model-index:
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  - name: qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
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  results: []
 
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  # qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
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+ This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6594
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+ - Rewards/chosen: -3.3473
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+ - Rewards/rejected: -3.4798
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  - Rewards/accuracies: 0.5282
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+ - Rewards/margins: 0.1325
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+ - Logps/rejected: -1.3919
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+ - Logps/chosen: -1.3389
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+ - Logits/rejected: -5.2419
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+ - Logits/chosen: -5.3398
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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": 0.9981298423724285,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 1.7099600828689476,
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  "train_runtime": 3104.7014,
 
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  {
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  "epoch": 0.9981298423724285,
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+ "eval_logits/chosen": -5.339814186096191,
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+ "eval_logits/rejected": -5.241891384124756,
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+ "eval_logps/chosen": -1.3389328718185425,
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+ "eval_logps/rejected": -1.3919367790222168,
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+ "eval_loss": 1.659356713294983,
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+ "eval_rewards/accuracies": 0.5282257795333862,
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+ "eval_rewards/chosen": -3.347332239151001,
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+ "eval_rewards/margins": 0.13250981271266937,
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+ "eval_rewards/rejected": -3.479841947555542,
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+ "eval_runtime": 29.2769,
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+ "eval_samples": 1961,
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+ "eval_samples_per_second": 66.981,
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+ "eval_steps_per_second": 2.118,
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  "total_flos": 0.0,
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  "train_loss": 1.7099600828689476,
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  "train_runtime": 3104.7014,
config.json CHANGED
@@ -22,7 +22,7 @@
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  "tie_word_embeddings": true,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.41.2",
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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": "4.41.2",
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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": 0.9981298423724285,
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+ "eval_logits/chosen": -5.339814186096191,
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+ "eval_logits/rejected": -5.241891384124756,
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+ "eval_logps/chosen": -1.3389328718185425,
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+ "eval_logps/rejected": -1.3919367790222168,
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+ "eval_loss": 1.659356713294983,
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+ "eval_rewards/accuracies": 0.5282257795333862,
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+ "eval_rewards/chosen": -3.347332239151001,
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+ "eval_rewards/margins": 0.13250981271266937,
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+ "eval_rewards/rejected": -3.479841947555542,
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+ "eval_runtime": 29.2769,
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+ "eval_samples": 1961,
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+ "eval_samples_per_second": 66.981,
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+ "eval_steps_per_second": 2.118
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+ }
runs/Jun21_14-04-01_131-186-38-174/events.out.tfevents.1718982473.131-186-38-174.21907.1 ADDED
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