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reward-model

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reward-model
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Panga-Azazia commited on
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  1. all_results.json +11 -0
  2. eval_results.json +11 -0
all_results.json ADDED
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+ {
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+ "eval_accuracy": 0.33,
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+ "eval_loss": 0.07672813534736633,
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+ "eval_model_preparation_time": 0.0022,
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+ "eval_mse": 0.07672813534736633,
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+ "eval_pearson": 0.6603442430496216,
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+ "eval_r2": 0.42677074670791626,
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+ "eval_runtime": 8.9224,
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+ "eval_samples_per_second": 22.415,
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+ "eval_steps_per_second": 2.802
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+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
2
+ "eval_accuracy": 0.33,
3
+ "eval_loss": 0.07672813534736633,
4
+ "eval_model_preparation_time": 0.0022,
5
+ "eval_mse": 0.07672813534736633,
6
+ "eval_pearson": 0.6603442430496216,
7
+ "eval_r2": 0.42677074670791626,
8
+ "eval_runtime": 8.9224,
9
+ "eval_samples_per_second": 22.415,
10
+ "eval_steps_per_second": 2.802
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+ }