Finetuned raygx/GPT2-Nepali-Casual-LM model for generating Covid-News; 10 Epochs

README.md

@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 6.2871
-- Validation Loss: 6.6830
-- Epoch: 4
+- Train Loss: 5.6414
+- Validation Loss: 6.3015
+- Epoch: 9
 
 ## Model description
 
@@ -41,11 +41,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 6.6684     | 6.9298          | 0     |
-| 6.5617     | 6.8545          | 1     |
-| 6.4641     | 6.7858          | 2     |
-| 6.3725     | 6.7307          | 3     |
-| 6.2871     | 6.6830          | 4     |
+| 6.2059     | 6.6394          | 0     |
+| 6.1308     | 6.6034          | 1     |
+| 6.0590     | 6.5447          | 2     |
+| 5.9910     | 6.5061          | 3     |
+| 5.9264     | 6.4637          | 4     |
+| 5.8640     | 6.4168          | 5     |
+| 5.8058     | 6.3805          | 6     |
+| 5.7492     | 6.3604          | 7     |
+| 5.6948     | 6.3189          | 8     |
+| 5.6414     | 6.3015          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8c3f75b590baa62b8099ee67c4c4c637089385611ccb93759010b0848a320924
+oid sha256:16708d7488c0291f4f34a9e6055f2b805e41c5cba5ce9428c7a7e808ecd64b32
 size 357679600