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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.3504
+- Train Loss: 2.7552
 - Train Accuracy: 0.4284
-- Epoch: 6
+- Epoch: 0
 
 ## Model description
 
@@ -43,13 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Epoch |
 |:----------:|:--------------:|:-----:|
-| 4.6245     | 0.4284         | 0     |
-| 3.7502     | 0.4284         | 1     |
-| 3.1399     | 0.4258         | 2     |
-| 2.7613     | 0.4258         | 3     |
-| 2.5597     | 0.4271         | 4     |
-| 2.4106     | 0.4297         | 5     |
-| 2.3504     | 0.4284         | 6     |
+| 2.7552     | 0.4284         | 0     |
 
 
 ### Framework versions

config.json

@@ -4,10 +4,10 @@
     "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
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+  "classifier_dropout": null,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
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+  "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0",
@@ -36,130 +36,7 @@
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tf_model.h5

@@ -1,3 +1,3 @@
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