nacielo
/

wav2GPT2MusiSD3200

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4136
-- Rouge1: 18.3305
-- Rouge2: 2.3398
-- Rougel: 16.1355
-- Rougelsum: 16.0889
-- Gen Len: 68.0
 ## Model description
@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 1.9475        | 1.0   | 959  | 1.7999          | 21.7144 | 2.959  | 19.633  | 19.6005   | 63.0    |
-| 1.7055        | 2.0   | 1918 | 1.6840          | 21.3721 | 2.9057 | 19.166  | 19.142    | 61.0    |
-| 1.6262        | 3.0   | 2877 | 1.6052          | 19.3952 | 2.692  | 17.8213 | 17.7863   | 76.0    |
-| 1.5601        | 4.0   | 3836 | 1.5495          | 18.0278 | 2.2993 | 16.1559 | 16.1154   | 68.0    |
-| 1.5354        | 5.0   | 4795 | 1.4992          | 18.1503 | 2.1188 | 15.9452 | 15.9245   | 62.0    |
-| 1.5294        | 6.0   | 5754 | 1.4659          | 18.0278 | 2.2993 | 16.1559 | 16.1154   | 68.0    |
-| 1.5278        | 7.0   | 6713 | 1.4371          | 16.5149 | 2.4707 | 15.8236 | 15.7624   | 60.0    |
-| 1.5306        | 8.0   | 7672 | 1.4223          | 18.7176 | 2.4645 | 16.5148 | 16.4705   | 62.0    |
-| 1.5477        | 9.0   | 8631 | 1.4148          | 18.3305 | 2.3398 | 16.1355 | 16.0889   | 68.0    |
-| 1.5722        | 10.0  | 9590 | 1.4136          | 18.3305 | 2.3398 | 16.1355 | 16.0889   | 68.0    |
 ### Framework versions

 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.9236
+- Rouge1: 28.7212
+- Rouge2: 7.4616
+- Rougel: 21.8892
+- Rougelsum: 21.8832
+- Gen Len: 46.0
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 1.2945        | 1.0   | 1361  | 1.1031          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
+| 1.212         | 2.0   | 2722  | 1.0544          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
+| 1.1771        | 3.0   | 4083  | 1.0171          | 27.7311 | 6.574  | 21.4759 | 21.4402   | 57.0    |
+| 1.124         | 4.0   | 5444  | 0.9856          | 30.3958 | 7.6795 | 22.3852 | 22.4201   | 62.0    |
+| 1.1177        | 5.0   | 6805  | 0.9591          | 30.2957 | 8.1085 | 22.6405 | 22.5926   | 50.0    |
+| 1.1168        | 6.0   | 8166  | 0.9419          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
+| 1.1277        | 7.0   | 9527  | 0.9304          | 27.9697 | 6.7041 | 21.6712 | 21.6064   | 55.0    |
+| 1.1256        | 8.0   | 10888 | 0.9227          | 29.7298 | 7.2318 | 22.3598 | 22.3739   | 56.0    |
+| 1.1617        | 9.0   | 12249 | 0.9222          | 28.7212 | 7.4616 | 21.8892 | 21.8832   | 46.0    |
+| 1.2002        | 10.0  | 13610 | 0.9236          | 28.7212 | 7.4616 | 21.8892 | 21.8832   | 46.0    |
 ### Framework versions