nacielo
/

wav2GPT2MusiSD3100

@@ -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: 1.0695
-- Rouge1: 27.535
-- Rouge2: 6.4489
-- Rougel: 21.3553
-- Rougelsum: 21.3149
-- Gen Len: 62.0
 ## Model description
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -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 |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 2.3153        | 1.0   | 1361  | 1.8998          | 28.933  | 7.6448 | 21.3837 | 21.3322   | 70.0    |
-| 1.9693        | 2.0   | 2722  | 1.6823          | 21.1663 | 4.9059 | 18.2626 | 18.2806   | 65.0    |
-| 1.8035        | 3.0   | 4083  | 1.5310          | 30.8905 | 9.1528 | 22.7768 | 22.7103   | 89.0    |
-| 1.6632        | 4.0   | 5444  | 1.4205          | 31.8655 | 7.8167 | 22.7573 | 22.7116   | 66.0    |
-| 1.5764        | 5.0   | 6805  | 1.3066          | 29.913  | 7.5342 | 21.2873 | 21.2554   | 62.0    |
-| 1.5009        | 6.0   | 8166  | 1.2299          | 30.9454 | 8.005  | 22.3495 | 22.2846   | 63.0    |
-| 1.4331        | 7.0   | 9527  | 1.1677          | 28.1694 | 6.8177 | 21.7434 | 21.703    | 55.0    |
-| 1.3667        | 8.0   | 10888 | 1.1135          | 28.1109 | 6.7004 | 21.4423 | 21.3734   | 51.0    |
-| 1.3285        | 9.0   | 12249 | 1.0826          | 27.6524 | 8.0724 | 21.2241 | 21.1558   | 49.0    |
-| 1.2996        | 10.0  | 13610 | 1.0695          | 27.535  | 6.4489 | 21.3553 | 21.3149   | 62.0    |
 ### 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: 1.4621
+- Rouge1: 49.1683
+- Rouge2: 19.4082
+- Rougel: 33.9969
+- Rougelsum: 33.9813
+- Gen Len: 40.0
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 1e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.4584        | 1.0   | 983  | 1.8478          | 38.1727 | 13.6798 | 29.6916 | 29.6486   | 34.0    |
+| 2.002         | 2.0   | 1966 | 1.7151          | 38.1157 | 11.406  | 30.5444 | 30.4542   | 29.0    |
+| 1.8944        | 3.0   | 2949 | 1.6377          | 41.6078 | 14.6425 | 29.1709 | 29.1277   | 40.0    |
+| 1.809         | 4.0   | 3932 | 1.5824          | 38.1157 | 11.4094 | 30.2316 | 30.174    | 29.0    |
+| 1.7763        | 5.0   | 4915 | 1.5419          | 38.1157 | 12.8897 | 30.0962 | 30.034    | 29.0    |
+| 1.7535        | 6.0   | 5898 | 1.5088          | 46.8579 | 18.9781 | 33.0079 | 33.0205   | 41.0    |
+| 1.7409        | 7.0   | 6881 | 1.4867          | 49.1683 | 19.4082 | 33.9969 | 33.9813   | 40.0    |
+| 1.7442        | 8.0   | 7864 | 1.4712          | 43.8511 | 18.6704 | 31.2102 | 31.2126   | 47.0    |
+| 1.7462        | 9.0   | 8847 | 1.4651          | 43.8511 | 18.6704 | 31.2102 | 31.2126   | 47.0    |
+| 1.753         | 10.0  | 9830 | 1.4621          | 49.1683 | 19.4082 | 33.9969 | 33.9813   | 40.0    |
 ### Framework versions