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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2539
-- Train Accuracy: 0.9391
-- Epoch: 2
+- Train Loss: 0.4444
+- Train Accuracy: 0.8747
+- Epoch: 0
 
 ## Model description
 
@@ -43,9 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Epoch |
 |:----------:|:--------------:|:-----:|
-| 0.4444     | 0.8730         | 0     |
-| 0.3314     | 0.9120         | 1     |
-| 0.2539     | 0.9391         | 2     |
+| 0.4444     | 0.8747         | 0     |
 
 
 ### Framework versions

config.json

@@ -8,15 +8,7 @@
   "dim": 768,
   "dropout": 0.1,
   "hidden_dim": 3072,
-  "id2label": {
-    "0": "NO",
-    "1": "YES"
-  },
   "initializer_range": 0.02,
-  "label2id": {
-    "NO": 0,
-    "YES": 1
-  },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
   "n_heads": 12,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce986c38a85527fe310de96cdfeece5d4cfbf3a3fa70310e31c1840e93e45c4c
+oid sha256:4bed43cd512b303e4f407690e14d95ee6f71026c074fba65b39e16d1217ec7f9
 size 267955144