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: 1.0719
-- Rouge1: 26.4817
-- Rouge2: 7.5371
-- Rougel: 20.5034
-- Rougelsum: 20.4753
-- Gen Len: 50.0
 ## 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 |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 2.3142        | 1.0   | 1361  | 1.9011          | 30.4426 | 7.6822 | 22.0685 | 22.0967   | 65.0    |
-| 1.9704        | 2.0   | 2722  | 1.6765          | 24.8748 | 5.8724 | 20.797  | 20.7737   | 72.0    |
-| 1.8047        | 3.0   | 4083  | 1.5301          | 29.2797 | 7.7402 | 21.8235 | 21.769    | 58.0    |
-| 1.666         | 4.0   | 5444  | 1.4232          | 33.1568 | 8.7277 | 23.07   | 23.013    | 81.0    |
-| 1.5785        | 5.0   | 6805  | 1.3077          | 28.4221 | 7.6332 | 20.5747 | 20.5799   | 55.0    |
-| 1.502         | 6.0   | 8166  | 1.2324          | 27.9706 | 7.7542 | 20.6862 | 20.6696   | 50.0    |
-| 1.4354        | 7.0   | 9527  | 1.1675          | 28.7212 | 7.4616 | 21.8892 | 21.8832   | 46.0    |
-| 1.3681        | 8.0   | 10888 | 1.1178          | 26.8721 | 7.716  | 20.9267 | 20.9161   | 46.0    |
-| 1.3321        | 9.0   | 12249 | 1.0847          | 26.4817 | 7.5371 | 20.5034 | 20.4753   | 50.0    |
-| 1.2997        | 10.0  | 13610 | 1.0719          | 26.4817 | 7.5371 | 20.5034 | 20.4753   | 50.0    |
 ### 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: 1.4595
+- Rouge1: 46.5222
+- Rouge2: 18.6099
+- Rougel: 33.3774
+- Rougelsum: 33.3798
+- Gen Len: 39.0
 ## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.4666        | 1.0   | 983  | 1.8573          | 38.068  | 13.843  | 29.5331 | 29.5373   | 33.0    |
+| 2.0055        | 2.0   | 1966 | 1.7201          | 38.0701 | 11.4181 | 30.4599 | 30.4934   | 29.0    |
+| 1.8958        | 3.0   | 2949 | 1.6381          | 45.7986 | 18.9877 | 33.2071 | 33.1974   | 43.0    |
+| 1.8108        | 4.0   | 3932 | 1.5818          | 37.4842 | 13.0246 | 30.5066 | 30.5385   | 34.0    |
+| 1.7778        | 5.0   | 4915 | 1.5410          | 38.3821 | 13.7607 | 30.4166 | 30.4494   | 28.0    |
+| 1.7521        | 6.0   | 5898 | 1.5077          | 46.5222 | 18.6099 | 33.3774 | 33.3798   | 39.0    |
+| 1.7425        | 7.0   | 6881 | 1.4850          | 43.6827 | 18.3618 | 33.0652 | 33.0676   | 43.0    |
+| 1.7455        | 8.0   | 7864 | 1.4682          | 43.6827 | 18.3618 | 33.0652 | 33.0676   | 43.0    |
+| 1.7459        | 9.0   | 8847 | 1.4621          | 46.5222 | 18.6099 | 33.3774 | 33.3798   | 39.0    |
+| 1.7544        | 10.0  | 9830 | 1.4595          | 46.5222 | 18.6099 | 33.3774 | 33.3798   | 39.0    |
 ### Framework versions