RajuEEE/RewardModel_RobertaBase_GPTData_ThreeLabels

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6783
-- F1: 0.7879
-- Roc Auc: 0.825
-- Accuracy: 0.65
+- Loss: 0.1047
+- F1: 0.9722
+- Roc Auc: 0.9792
+- Accuracy: 0.9722
 
 ## Model description
 
@@ -46,15 +46,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| No log        | 1.0   | 10   | 0.6885          | 0.2222 | 0.5625  | 0.125    |
-| No log        | 2.0   | 20   | 0.6844          | 0.6207 | 0.725   | 0.45     |
-| No log        | 3.0   | 30   | 0.6783          | 0.7879 | 0.825   | 0.65     |
+| No log        | 1.0   | 15   | 0.6256          | 0.0    | 0.5     | 0.0      |
+| No log        | 2.0   | 30   | 0.5210          | 0.3448 | 0.6042  | 0.2083   |
+| No log        | 3.0   | 45   | 0.3479          | 0.8143 | 0.8576  | 0.7639   |
+| No log        | 4.0   | 60   | 0.2431          | 0.9241 | 0.9444  | 0.9167   |
+| No log        | 5.0   | 75   | 0.1917          | 0.9315 | 0.9514  | 0.9167   |
+| No log        | 6.0   | 90   | 0.1364          | 0.9655 | 0.9757  | 0.9583   |
+| 0.3628        | 7.0   | 105  | 0.1120          | 0.9583 | 0.9688  | 0.9583   |
+| 0.3628        | 8.0   | 120  | 0.0967          | 0.9655 | 0.9757  | 0.9583   |
+| 0.3628        | 9.0   | 135  | 0.1047          | 0.9722 | 0.9792  | 0.9722   |
+| 0.3628        | 10.0  | 150  | 0.0928          | 0.9722 | 0.9792  | 0.9722   |
 
 
 ### Framework versions

config.json

@@ -12,13 +12,15 @@
   "hidden_size": 768,
   "id2label": {
     "0": "Bad",
-    "1": "Good"
+    "1": "Average",
+    "2": "Good"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
+    "Average": 1,
     "Bad": 0,
-    "Good": 1
+    "Good": 2
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,

model.safetensors

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runs/Jun22_02-46-32_233465fb1659/events.out.tfevents.1719024395.233465fb1659.193.0

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runs/Jun22_02-46-32_233465fb1659/events.out.tfevents.1719024731.233465fb1659.193.1

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training_args.bin

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