add model

README.md

@@ -12,13 +12,9 @@ probably proofread and complete it, then remove this comment. -->
 
 # europython-imdb
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [Rocketknight1/europython-imdb](https://huggingface.co/Rocketknight1/europython-imdb) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1620
-- Train Accuracy: 0.9396
-- Validation Loss: 0.1722
-- Validation Accuracy: 0.9333
-- Epoch: 1
+
 
 ## Model description
 
@@ -37,15 +33,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: None
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.2492     | 0.9011         | 0.2416          | 0.9122              | 0     |
-| 0.1620     | 0.9396         | 0.1722          | 0.9333              | 1     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-base",
+  "_name_or_path": "Rocketknight1/europython-imdb",
   "architectures": [
     "RobertaForSequenceClassification"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9143e1fc650cd15764bd8d34c17d253a665679fd8fccfc6a1770043703c9874
+oid sha256:18fa14d632fc4c63bcb15d7bd151961eb20dfdcbee2422ae8c4702bf9b595d41
 size 498878336