End of training

README.md

@@ -14,9 +14,7 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gchhablani/bert-base-cased-finetuned-sst2](https://huggingface.co/gchhablani/bert-base-cased-finetuned-sst2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0285
-- Validation Loss: 0.3471
-- Epoch: 4
+
 
 ## Model description
 
@@ -35,18 +33,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: None
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 0.0710     | 0.2416          | 0     |
-| 0.0578     | 0.2365          | 1     |
-| 0.0432     | 0.3337          | 2     |
-| 0.0343     | 0.3451          | 3     |
-| 0.0285     | 0.3471          | 4     |
 
 
 ### Framework versions

config.json

@@ -17,8 +17,8 @@
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "negative": "0",
-    "positive": "1"
+    "negative": 0,
+    "positive": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

tf_model.h5

@@ -1,3 +1,3 @@
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 size 433535320