TeeA/T5-Text2SQL-Bilingual

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [TeeA/T5-Text2SQL-Bilingual](https://huggingface.co/TeeA/T5-Text2SQL-Bilingual) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5456
-- Rouge1: 0.8237
-- Rouge2: 0.7136
-- Rougel: 0.8142
-- Rougelsum: 0.8137
+- Loss: 1.4095
+- Rouge1: 0.8431
+- Rouge2: 0.7496
+- Rougel: 0.8358
+- Rougelsum: 0.8364
 
 ## Model description
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 1.891         | 1.0   | 4389  | 1.7024          | 0.8289 | 0.7133 | 0.8163 | 0.8159    |
-| 1.8333        | 2.0   | 8778  | 1.6619          | 0.8220 | 0.7113 | 0.8091 | 0.8089    |
-| 1.7995        | 3.0   | 13167 | 1.6317          | 0.8213 | 0.7100 | 0.8102 | 0.8098    |
-| 1.7632        | 4.0   | 17556 | 1.6076          | 0.8189 | 0.7074 | 0.8081 | 0.8076    |
-| 1.7368        | 5.0   | 21945 | 1.5912          | 0.8219 | 0.7107 | 0.8106 | 0.8104    |
-| 1.7121        | 6.0   | 26334 | 1.5715          | 0.8177 | 0.7052 | 0.8062 | 0.8060    |
-| 1.7042        | 7.0   | 30723 | 1.5595          | 0.8210 | 0.7098 | 0.8104 | 0.8103    |
-| 1.688         | 8.0   | 35112 | 1.5515          | 0.8220 | 0.7111 | 0.8118 | 0.8114    |
-| 1.6647        | 9.0   | 39501 | 1.5482          | 0.8236 | 0.7122 | 0.8135 | 0.8131    |
-| 1.6854        | 10.0  | 43890 | 1.5456          | 0.8237 | 0.7136 | 0.8142 | 0.8137    |
+| 1.6571        | 1.0   | 4389  | 1.5119          | 0.8292 | 0.7219 | 0.8204 | 0.8210    |
+| 1.6181        | 2.0   | 8778  | 1.4851          | 0.8329 | 0.7293 | 0.8239 | 0.8245    |
+| 1.6051        | 3.0   | 13167 | 1.4654          | 0.8324 | 0.7313 | 0.8243 | 0.8249    |
+| 1.5903        | 4.0   | 17556 | 1.4522          | 0.8372 | 0.7396 | 0.8292 | 0.8298    |
+| 1.5635        | 5.0   | 21945 | 1.4364          | 0.8399 | 0.7438 | 0.8320 | 0.8328    |
+| 1.5304        | 6.0   | 26334 | 1.4274          | 0.8417 | 0.7455 | 0.8342 | 0.8346    |
+| 1.5267        | 7.0   | 30723 | 1.4185          | 0.8409 | 0.7453 | 0.8336 | 0.8341    |
+| 1.5241        | 8.0   | 35112 | 1.4129          | 0.8419 | 0.7480 | 0.8347 | 0.8354    |
+| 1.5185        | 9.0   | 39501 | 1.4103          | 0.8431 | 0.7496 | 0.8355 | 0.8363    |
+| 1.5174        | 10.0  | 43890 | 1.4095          | 0.8431 | 0.7496 | 0.8358 | 0.8364    |
 
 
 ### Framework versions

model.safetensors

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runs/Mar14_11-30-52_b8f5b28e1910/events.out.tfevents.1710415889.b8f5b28e1910.184.0

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training_args.bin

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 size 5048