ZhiguangHan
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mt5-small-task1-dataset1

text2text-generation

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ZhiguangHan commited on Dec 17, 2023

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6887
-- Accuracy: 0.618
 ## Model description
@@ -43,24 +43,27 @@ 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: 12
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 10.3747       | 1.0   | 250  | 1.8894          | 0.19     |
-| 2.1263        | 2.0   | 500  | 1.3543          | 0.2      |
-| 1.5986        | 3.0   | 750  | 1.2566          | 0.2      |
-| 1.43          | 4.0   | 1000 | 1.0943          | 0.374    |
-| 1.2409        | 5.0   | 1250 | 0.9063          | 0.506    |
-| 1.0295        | 6.0   | 1500 | 0.8092          | 0.552    |
-| 0.9365        | 7.0   | 1750 | 0.7702          | 0.552    |
-| 0.9121        | 8.0   | 2000 | 0.7411          | 0.59     |
-| 0.8275        | 9.0   | 2250 | 0.7289          | 0.588    |
-| 0.8063        | 10.0  | 2500 | 0.6968          | 0.61     |
-| 0.7903        | 11.0  | 2750 | 0.6868          | 0.616    |
-| 0.7674        | 12.0  | 3000 | 0.6887          | 0.618    |
 ### Framework versions

 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6492
+- Accuracy: 0.626
 ## 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 | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 10.2312       | 1.0   | 250  | 2.1246          | 0.194    |
+| 2.2998        | 2.0   | 500  | 1.4171          | 0.194    |
+| 1.6645        | 3.0   | 750  | 1.2718          | 0.206    |
+| 1.4575        | 4.0   | 1000 | 1.1549          | 0.258    |
+| 1.3335        | 5.0   | 1250 | 1.0267          | 0.432    |
+| 1.1696        | 6.0   | 1500 | 0.8811          | 0.5      |
+| 0.9974        | 7.0   | 1750 | 0.7960          | 0.532    |
+| 0.9162        | 8.0   | 2000 | 0.7576          | 0.556    |
+| 0.8463        | 9.0   | 2250 | 0.7342          | 0.588    |
+| 0.8078        | 10.0  | 2500 | 0.6856          | 0.606    |
+| 0.7751        | 11.0  | 2750 | 0.6655          | 0.612    |
+| 0.7533        | 12.0  | 3000 | 0.6645          | 0.622    |
+| 0.7337        | 13.0  | 3250 | 0.6625          | 0.62     |
+| 0.7154        | 14.0  | 3500 | 0.6640          | 0.624    |
+| 0.7038        | 15.0  | 3750 | 0.6492          | 0.626    |
 ### Framework versions