e22vvb
/

EN_mt5-base_spider

@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2985
-- Rouge2 Precision: 0.4636
-- Rouge2 Recall: 0.2877
-- Rouge2 Fmeasure: 0.3298
 ## Model description
@@ -42,17 +42,27 @@ 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: 5
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| No log        | 1.0   | 438  | 2.4913          | 0.0              | 0.0           | 0.0             |
-| 12.4854       | 2.0   | 876  | 0.3569          | 0.3334           | 0.1968        | 0.221           |
-| 0.8833        | 3.0   | 1314 | 0.3360          | 0.3652           | 0.2262        | 0.2538          |
-| 1.6001        | 4.0   | 1752 | 0.3028          | 0.4481           | 0.2759        | 0.3172          |
-| 0.2639        | 5.0   | 2190 | 0.2985          | 0.4636           | 0.2877        | 0.3298          |
 ### Framework versions

 This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.8036
+- Rouge2 Precision: 0.0
+- Rouge2 Recall: 0.0
+- Rouge2 Fmeasure: 0.0
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 15
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 438  | 0.2132          | 0.009            | 0.0041        | 0.0051          |
+| 6.2612        | 2.0   | 876  | 0.5214          | 0.0036           | 0.0013        | 0.0018          |
+| 0.161         | 3.0   | 1314 | 0.4509          | 0.009            | 0.0038        | 0.0051          |
+| 0.0989        | 4.0   | 1752 | 0.4065          | 0.0              | 0.0           | 0.0             |
+| 0.0793        | 5.0   | 2190 | 0.3735          | 0.0              | 0.0           | 0.0             |
+| 0.0657        | 6.0   | 2628 | 0.3679          | 0.0              | 0.0           | 0.0             |
+| 0.0592        | 7.0   | 3066 | 0.3044          | 0.0016           | 0.0008        | 0.001           |
+| 0.0557        | 8.0   | 3504 | 0.3032          | 0.0              | 0.0           | 0.0             |
+| 0.0557        | 9.0   | 3942 | 0.3212          | 0.0014           | 0.002         | 0.0015          |
+| 0.7984        | 10.0  | 4380 | 0.7433          | 0.0              | 0.0           | 0.0             |
+| 0.9026        | 11.0  | 4818 | 0.0904          | 0.0              | 0.0           | 0.0             |
+| 0.0419        | 12.0  | 5256 | 2.8192          | 0.0              | 0.0           | 0.0             |
+| 0.0184        | 13.0  | 5694 | 0.7313          | 0.0              | 0.0           | 0.0             |
+| 0.0121        | 14.0  | 6132 | 0.9688          | 0.0              | 0.0           | 0.0             |
+| 0.0116        | 15.0  | 6570 | 1.8036          | 0.0              | 0.0           | 0.0             |
 ### Framework versions