Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2587
-- Validation Loss: 0.6199
-- Train Accuracy: 0.8304
-- Epoch: 4
+- Train Loss: 1.5638
+- Validation Loss: 1.3706
+- Train Accuracy: 0.625
+- Epoch: 0
 
 ## Model description
 
@@ -44,11 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.5273     | 1.3916          | 0.5982         | 0     |
-| 0.8515     | 0.9215          | 0.7143         | 1     |
-| 0.4652     | 0.7165          | 0.8214         | 2     |
-| 0.3219     | 0.6185          | 0.8393         | 3     |
-| 0.2587     | 0.6199          | 0.8304         | 4     |
+| 1.5638     | 1.3706          | 0.625          | 0     |
 
 
 ### Framework versions

config.json

@@ -13,7 +13,7 @@
     "1": "BUGS",
     "2": "GAMEPLAY",
     "3": "GRAPHIC",
-    "4": "OTHER",
+    "4": "OTHERS",
     "5": "NEW-FEATURE"
   },
   "initializer_range": 0.02,
@@ -23,7 +23,7 @@
     "GAMEPLAY": 2,
     "GRAPHIC": 3,
     "NEW-FEATURE": 5,
-    "OTHER": 4
+    "OTHERS": 4
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 267967432
+oid sha256:dbcc9ae224d10910aff56998f7579e8e82c0a7f1c9721fb70fa8668c1b526f48
+size 267964096