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bart-large-chinese-cnhdwriter

Text2Text Generation Transformers PyTorch TensorBoard Safetensors bart generated_from_trainer Inference Endpoints

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chinhon commited on Jan 22, 2022

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update model card README.md

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@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7252
-- Rouge1: 15.5844
-- Rouge2: 2.1522
-- Rougel: 15.5443
-- Rougelsum: 15.5603
-- Gen Len: 19.3469
 ## Model description
@@ -45,18 +45,17 @@ 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
 - mixed_precision_training: Native AMP
 ### Training results
 | Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 1.2431        | 1.0   | 32000  | 1.1646          | 15.6512 | 2.0244 | 15.6212 | 15.6283   | 18.7906 |
-| 0.8739        | 2.0   | 64000  | 1.1694          | 15.5784 | 2.255  | 15.5413 | 15.5504   | 19.2405 |
-| 0.6178        | 3.0   | 96000  | 1.2520          | 15.5932 | 2.2286 | 15.5458 | 15.5546   | 19.3576 |
-| 0.4016        | 4.0   | 128000 | 1.5014          | 15.3701 | 2.0511 | 15.3595 | 15.3654   | 19.2426 |
-| 0.235         | 5.0   | 160000 | 1.7252          | 15.5844 | 2.1522 | 15.5443 | 15.5603   | 19.3469 |
 ### Framework versions

 This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.3859
+- Rouge1: 16.8496
+- Rouge2: 2.5548
+- Rougel: 16.8123
+- Rougelsum: 16.8056
+- Gen Len: 18.9357
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 ### Training results
 | Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 1.2119        | 1.0   | 62716  | 1.1876          | 15.3858 | 2.1251 | 15.3709 | 15.3705   | 18.7269 |
+| 1.0847        | 2.0   | 125432 | 1.3353          | 13.7743 | 1.9047 | 13.7664 | 13.7421   | 18.6183 |
+| 0.6995        | 3.0   | 188148 | 1.2209          | 16.6797 | 2.3979 | 16.6258 | 16.6368   | 18.8953 |
+| 0.4819        | 4.0   | 250864 | 1.3859          | 16.8496 | 2.5548 | 16.8123 | 16.8056   | 18.9357 |
 ### Framework versions