Training in progress epoch 0

README.md

@@ -15,9 +15,9 @@ 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: 0.3523
-- Validation Loss: 0.3032
-- Train Accuracy: 0.8682
+- Train Loss: 0.6362
+- Validation Loss: 0.5353
+- Train Accuracy: 0.7838
 - Epoch: 0
 
 ## Model description
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.3523     | 0.3032          | 0.8682         | 0     |
+| 0.6362     | 0.5353          | 0.7838         | 0     |
 
 
 ### Framework versions

config.json

@@ -10,12 +10,14 @@
   "hidden_dim": 3072,
   "id2label": {
     "0": "NEGATIVE",
-    "1": "POSITIVE"
+    "1": "NEUTRAL",
+    "2": "POSITIVE"
   },
   "initializer_range": 0.02,
   "label2id": {
     "NEGATIVE": 0,
-    "POSITIVE": 1
+    "NEUTRAL": 1,
+    "POSITIVE": 2
   },
   "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 267951808
+oid sha256:af25757029e519ac7d55b930cff94995dd269933f0ac01c0c45e7626b2f8d43d
+size 267954880