TeeA/Text2SQL-Bilingual

README.md

@@ -2,8 +2,6 @@
 base_model: TeeA/T5-Text2SQL-Bilingual
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: Text2SQL-Bilingual
   results: []
@@ -16,11 +14,15 @@ 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: 0.6352
-- Rouge1: 0.8954
-- Rouge2: 0.8464
-- Rougel: 0.8923
-- Rougelsum: 0.8922
+- eval_loss: 11.0281
+- eval_rouge1: 0.2144
+- eval_rouge2: 0.0542
+- eval_rougeL: 0.2005
+- eval_rougeLsum: 0.2020
+- eval_runtime: 89.1307
+- eval_samples_per_second: 10.703
+- eval_steps_per_second: 2.681
+- step: 0
 
 ## Model description
 
@@ -45,25 +47,9 @@ 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: 10
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 0.8096        | 1.0   | 4389  | 0.6355          | 0.8975 | 0.8473 | 0.8940 | 0.8941    |
-| 0.7862        | 2.0   | 8778  | 0.6368          | 0.8972 | 0.8489 | 0.8938 | 0.8939    |
-| 0.7791        | 3.0   | 13167 | 0.6368          | 0.8963 | 0.8469 | 0.8927 | 0.8925    |
-| 0.7792        | 4.0   | 17556 | 0.6369          | 0.8954 | 0.8464 | 0.8919 | 0.8917    |
-| 0.7859        | 5.0   | 21945 | 0.6356          | 0.8949 | 0.8448 | 0.8914 | 0.8912    |
-| 0.7812        | 6.0   | 26334 | 0.6354          | 0.8962 | 0.8468 | 0.8928 | 0.8928    |
-| 0.7813        | 7.0   | 30723 | 0.6359          | 0.8950 | 0.8451 | 0.8916 | 0.8913    |
-| 0.7695        | 8.0   | 35112 | 0.6356          | 0.8947 | 0.8458 | 0.8916 | 0.8915    |
-| 0.7842        | 9.0   | 39501 | 0.6350          | 0.8950 | 0.8463 | 0.8920 | 0.8918    |
-| 0.7724        | 10.0  | 43890 | 0.6352          | 0.8954 | 0.8464 | 0.8923 | 0.8922    |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

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training_args.bin

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