mnoukhov/pythia410m-dpo2-tldr

README.md

@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mnoukhov/pythia410m-sft-tldr](https://huggingface.co/mnoukhov/pythia410m-sft-tldr) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6237
-- Rewards/chosen: -2.4342
-- Rewards/rejected: -2.7481
-- Rewards/accuracies: 0.6489
-- Rewards/margins: 0.3139
-- Logps/rejected: -114.3425
-- Logps/chosen: -114.3425
+- Loss: 0.7753
+- Rewards/chosen: -6.3555
+- Rewards/rejected: -6.7803
+- Rewards/accuracies: 0.5989
+- Rewards/margins: 0.4248
+- Logps/rejected: -192.7698
+- Logps/chosen: -192.7698
 - Logps/ref Rejected: -59.5615
 - Logps/ref Chosen: -65.6594
 
@@ -61,10 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logps/ref Rejected | Logps/ref Chosen |
 |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:|
-| No log        | 0.2016 | 63   | 0.6296          | -0.3668        | -0.5301          | 0.6780             | 0.1633          | -72.9961       | -72.9961     | -59.5615           | -65.6594         |
-| 0.5884        | 0.4032 | 126  | 0.6180          | -1.5625        | -1.8194          | 0.6596             | 0.2569          | -96.9089       | -96.9089     | -59.5615           | -65.6594         |
-| 0.5884        | 0.6048 | 189  | 0.6302          | -2.3096        | -2.5816          | 0.6445             | 0.2720          | -111.8520      | -111.8520    | -59.5615           | -65.6594         |
-| 0.4615        | 0.8064 | 252  | 0.6237          | -2.4342        | -2.7481          | 0.6489             | 0.3139          | -114.3425      | -114.3425    | -59.5615           | -65.6594         |
+| 0.412         | 0.1999 | 335  | 0.6786          | -4.5428        | -4.9111          | 0.6222             | 0.3683          | -156.5151      | -156.5151    | -59.5615           | -65.6594         |
+| 0.3588        | 0.3999 | 670  | 0.7264          | -5.6339        | -6.0502          | 0.6107             | 0.4163          | -178.3372      | -178.3372    | -59.5615           | -65.6594         |
+| 0.345         | 0.5998 | 1005 | 0.7470          | -6.0062        | -6.4506          | 0.6086             | 0.4444          | -185.7831      | -185.7831    | -59.5615           | -65.6594         |
+| 0.3419        | 0.7998 | 1340 | 0.7738          | -6.3469        | -6.7796          | 0.6012             | 0.4327          | -192.5978      | -192.5978    | -59.5615           | -65.6594         |
+| 0.3384        | 0.9997 | 1675 | 0.7753          | -6.3555        | -6.7803          | 0.5989             | 0.4248          | -192.7698      | -192.7698    | -59.5615           | -65.6594         |
 
 
 ### Framework versions