End of training

README.md

@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1653
-- Validation Loss: 0.4949
+- Train Loss: 0.2861
+- Validation Loss: 0.4212
 - Epoch: 1
 
 ## Model description
@@ -42,8 +42,8 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.2938     | 0.4217          | 0     |
-| 0.1653     | 0.4949          | 1     |
+| 0.4878     | 0.4234          | 0     |
+| 0.2861     | 0.4212          | 1     |
 
 
 ### Framework versions

config.json

@@ -9,16 +9,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "unacceptable",
-    "1": "acceptable"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "acceptable": "1",
-    "unacceptable": "0"
-  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b5e4efe3058df59aa62454c053af53525dde327a26395894f989163843d3dff5
+oid sha256:ca42669667ce189d7c35168dc46bd3c29c02a2f186edcd856ed7b6145962f6a2
 size 433535320