Training in progress epoch 0

README.md

@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.7500
-- Validation Loss: 1.7085
-- Epoch: 5
+- Train Loss: 1.7479
+- Validation Loss: 1.5215
+- Epoch: 0
 
 ## Model description
 
@@ -34,19 +34,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.3558     | 1.9963          | 0     |
-| 1.8910     | 1.7162          | 1     |
-| 1.7534     | 1.6938          | 2     |
-| 1.7447     | 1.7163          | 3     |
-| 1.7345     | 1.7373          | 4     |
-| 1.7500     | 1.7085          | 5     |
+| 1.7479     | 1.5215          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:366b136e3417d0bd30c59a0e6f08b555952ce528d14084f494c98aac59c345e0
 size 1347211928