End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: facebook/bart-base
+base_model: GuysTrans/bart-base-vn-ehealth-vn-tokenizer
 tags:
 - generated_from_trainer
 metrics:
@@ -15,13 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bart-base-vn-ehealth-vn-tokenizer
 
-This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
+This model is a fine-tuned version of [GuysTrans/bart-base-vn-ehealth-vn-tokenizer](https://huggingface.co/GuysTrans/bart-base-vn-ehealth-vn-tokenizer) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4628
-- Rouge1: 19.9778
-- Rouge2: 8.3273
-- Rougel: 16.168
-- Rougelsum: 17.7651
+- Loss: 2.0955
+- Rouge1: 18.5721
+- Rouge2: 8.1945
+- Rougel: 15.1779
+- Rougelsum: 16.621
+- Bleu-1: 0.0005
+- Bleu-2: 0.0003
+- Bleu-3: 0.0002
+- Bleu-4: 0.0002
 - Gen Len: 20.0
 
 ## Model description
@@ -51,9 +55,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
-| 2.7655        | 1.0   | 17418 | 2.4628          | 19.9778 | 8.3273 | 16.168 | 17.7651   | 20.0    |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
+| 2.2659        | 1.0   | 21772 | 2.0955          | 18.5721 | 8.1945 | 15.1779 | 16.621    | 0.0005 | 0.0003 | 0.0002 | 0.0002 | 20.0    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d5949ff0817fb86a47214ff984418ac3e1151858c18b6b52e5a5f5dc47913998
 size 526488349