yakazimir commited on
Commit
c4764f5
1 Parent(s): 26fa46c

End of training

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Files changed (4) hide show
  1. README.md +9 -3
  2. all_results.json +14 -0
  3. config.json +1 -1
  4. eval_results.json +17 -0
README.md CHANGED
@@ -3,9 +3,15 @@ library_name: transformers
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  license: other
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  base_model: trl-lib/qwen1.5-0.5b-sft
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  tags:
 
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  - trl
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  - simpo
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: qwen_l21_entropy_0_01
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  results: []
@@ -16,15 +22,15 @@ should probably proofread and complete it, then remove this comment. -->
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  # qwen_l21_entropy_0_01
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- This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6901
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  - Sft Loss: 2.1331
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  - Rewards/chosen: -2.1707
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- - Rewards/rejected: -3.2271
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  - Rewards/accuracies: 0.6914
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  - Rewards/margins: 1.0563
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- - Logps/rejected: -3.2271
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  - Logps/chosen: -2.1707
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  - Logits/rejected: 0.2151
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  - Logits/chosen: 0.1185
 
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  license: other
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  base_model: trl-lib/qwen1.5-0.5b-sft
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  tags:
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+ - alignment-handbook
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  - trl
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  - simpo
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  - generated_from_trainer
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+ - trl
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+ - simpo
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+ - generated_from_trainer
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+ datasets:
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+ - yakazimir/ultrafeedback_binarized
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  model-index:
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  - name: qwen_l21_entropy_0_01
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  results: []
 
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  # qwen_l21_entropy_0_01
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+ This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on the yakazimir/ultrafeedback_binarized dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6901
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  - Sft Loss: 2.1331
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  - Rewards/chosen: -2.1707
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+ - Rewards/rejected: -3.2270
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  - Rewards/accuracies: 0.6914
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  - Rewards/margins: 1.0563
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+ - Logps/rejected: -3.2270
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  - Logps/chosen: -2.1707
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  - Logits/rejected: 0.2151
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  - Logits/chosen: 0.1185
all_results.json CHANGED
@@ -1,5 +1,19 @@
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  {
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  "epoch": 2.999297541394882,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.6914210148065283,
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  "train_runtime": 33926.4655,
 
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  {
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  "epoch": 2.999297541394882,
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+ "eval_logits/chosen": 0.11851656436920166,
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+ "eval_logits/rejected": 0.21514640748500824,
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+ "eval_logps/chosen": -2.170732259750366,
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+ "eval_logps/rejected": -3.2270374298095703,
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+ "eval_loss": 0.690127432346344,
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+ "eval_rewards/accuracies": 0.6913946866989136,
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+ "eval_rewards/chosen": -2.170732259750366,
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+ "eval_rewards/margins": 1.0563050508499146,
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+ "eval_rewards/rejected": -3.2270374298095703,
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+ "eval_runtime": 43.2304,
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+ "eval_samples": 1345,
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+ "eval_samples_per_second": 31.112,
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+ "eval_sft_loss": 2.133072853088379,
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+ "eval_steps_per_second": 7.795,
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  "total_flos": 0.0,
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  "train_loss": 0.6914210148065283,
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  "train_runtime": 33926.4655,
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": "4.44.2",
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- "use_cache": false,
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  "use_sliding_window": false,
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  "vocab_size": 151648
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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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  "use_sliding_window": false,
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  "vocab_size": 151648
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  }
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.999297541394882,
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+ "eval_logits/chosen": 0.11851656436920166,
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+ "eval_logits/rejected": 0.21514640748500824,
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+ "eval_logps/chosen": -2.170732259750366,
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+ "eval_logps/rejected": -3.2270374298095703,
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+ "eval_loss": 0.690127432346344,
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+ "eval_rewards/accuracies": 0.6913946866989136,
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+ "eval_rewards/chosen": -2.170732259750366,
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+ "eval_rewards/margins": 1.0563050508499146,
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+ "eval_rewards/rejected": -3.2270374298095703,
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+ "eval_runtime": 43.2304,
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+ "eval_samples": 1345,
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+ "eval_samples_per_second": 31.112,
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+ "eval_sft_loss": 2.133072853088379,
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+ "eval_steps_per_second": 7.795
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+ }