update model card README.md

README.md

@@ -14,10 +14,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0581
-- Rouge2 Precision: 0.6546
-- Rouge2 Recall: 0.4183
-- Rouge2 Fmeasure: 0.4794
+- eval_loss: 0.0595
+- eval_rouge2_precision: 0.6531
+- eval_rouge2_recall: 0.4156
+- eval_rouge2_fmeasure: 0.4774
+- eval_runtime: 13.7731
+- eval_samples_per_second: 75.074
+- eval_steps_per_second: 2.396
+- epoch: 12.0
+- step: 7884
 
 ## Model description
 
@@ -37,28 +42,16 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
-|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 0.0446        | 1.0   | 5250  | 0.0595          | 0.5997           | 0.3824        | 0.4385          |
-| 0.0301        | 2.0   | 10500 | 0.0573          | 0.6439           | 0.4169        | 0.476           |
-| 0.0256        | 3.0   | 15750 | 0.0564          | 0.642            | 0.4093        | 0.4695          |
-| 0.0222        | 4.0   | 21000 | 0.0581          | 0.6487           | 0.4165        | 0.4769          |
-| 0.0218        | 5.0   | 26250 | 0.0581          | 0.6546           | 0.4183        | 0.4794          |
-
+- num_epochs: 20
 
 ### Framework versions
 
 - Transformers 4.28.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.12.0
+- Datasets 2.14.4
 - Tokenizers 0.13.3