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: 1.4167
-- Rouge1: 46.3177
-- Rouge2: 18.1696
-- Rougel: 34.6558
-- Rougelsum: 34.636
-- Gen Len: 40.0
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.8481        | 1.0   | 983  | 2.2495          | 34.5797 | 8.9817  | 28.3195 | 28.32     | 28.0    |
-| 2.4137        | 2.0   | 1966 | 2.0846          | 36.3928 | 12.5876 | 27.98   | 27.9842   | 21.0    |
-| 2.2635        | 3.0   | 2949 | 1.9332          | 35.1245 | 9.6761  | 29.1228 | 29.155    | 27.0    |
-| 2.1176        | 4.0   | 3932 | 1.8091          | 34.5774 | 10.3811 | 27.872  | 27.8823   | 21.0    |
-| 2.0186        | 5.0   | 4915 | 1.6961          | 31.3649 | 9.5216  | 26.2574 | 26.254    | 38.0    |
-| 1.9291        | 6.0   | 5898 | 1.6045          | 39.5512 | 13.1811 | 30.9223 | 30.9325   | 40.0    |
-| 1.8468        | 7.0   | 6881 | 1.5318          | 41.6641 | 14.5078 | 31.932  | 31.9302   | 39.0    |
-| 1.7885        | 8.0   | 7864 | 1.4718          | 46.3177 | 18.1696 | 34.6558 | 34.636    | 40.0    |
-| 1.7379        | 9.0   | 8847 | 1.4323          | 45.3182 | 17.9076 | 33.0305 | 33.0228   | 47.0    |
-| 1.6984        | 10.0  | 9830 | 1.4167          | 46.3177 | 18.1696 | 34.6558 | 34.636    | 40.0    |
 ### 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: 1.4619
+- Rouge1: 19.2446
+- Rouge2: 2.6708
+- Rougel: 17.8027
+- Rougelsum: 17.766
+- Gen Len: 76.0
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.7069        | 1.0   | 959  | 2.5357          | 18.3668 | 2.1635 | 17.0926 | 17.0433   | 82.0    |
+| 2.2934        | 2.0   | 1918 | 2.3074          | 17.0518 | 2.1435 | 16.0006 | 15.9772   | 70.0    |
+| 2.1363        | 3.0   | 2877 | 2.1253          | 17.2075 | 2.008  | 16.8224 | 16.7772   | 46.0    |
+| 1.9919        | 4.0   | 3836 | 1.9537          | 17.9258 | 2.0952 | 16.7574 | 16.6999   | 88.0    |
+| 1.8915        | 5.0   | 4795 | 1.8144          | 17.2075 | 2.008  | 16.8224 | 16.7772   | 46.0    |
+| 1.8069        | 6.0   | 5754 | 1.6979          | 15.9274 | 2.3889 | 15.2764 | 15.2325   | 64.0    |
+| 1.7355        | 7.0   | 6713 | 1.5992          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
+| 1.6694        | 8.0   | 7672 | 1.5291          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
+| 1.6216        | 9.0   | 8631 | 1.4830          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
+| 1.5901        | 10.0  | 9590 | 1.4619          | 19.2446 | 2.6708 | 17.8027 | 17.766    | 76.0    |
 ### Framework versions