gec-ua-study

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: facebook/mbart-large-50
+base_model: BonySmoke/gec-ua-uk
 tags:
 - generated_from_trainer
 metrics:
@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gec-ua-uk
 
-This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
+This model is a fine-tuned version of [BonySmoke/gec-ua-uk](https://huggingface.co/BonySmoke/gec-ua-uk) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0266
-- Bleu: 0.9024
-- Gen Len: 27.9651
+- Loss: 0.0267
+- Bleu: 0.9051
+- Gen Len: 27.9751
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| 1.3805        | 1.0   | 625  | 0.0278          | 0.9016 | 27.9803 |
-| 0.0232        | 2.0   | 1250 | 0.0266          | 0.9024 | 27.9651 |
+| No log        | 1.0   | 375  | 0.0266          | 0.9001 | 27.9362 |
+| 0.0282        | 2.0   | 750  | 0.0267          | 0.9051 | 27.9751 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5b5b69541bbe8b05b8fb12ba97ee448866a435398e144e94dc00bf5a13630a9a
 size 2444694045