Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ 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: 0.0601
-- Validation Loss: 0.2901
-- Train Accuracy: 0.9002
-- Epoch: 2
+- Train Loss: 0.2125
+- Validation Loss: 0.2377
+- Train Accuracy: 0.9083
+- Epoch: 0
 
 ## Model description
 
@@ -43,14 +43,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2130     | 0.2447          | 0.8979         | 0     |
-| 0.1029     | 0.2523          | 0.9014         | 1     |
-| 0.0601     | 0.2901          | 0.9002         | 2     |
+| 0.2125     | 0.2377          | 0.9083         | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.29.2
 - TensorFlow 2.12.0
-- Datasets 2.11.0
+- Datasets 2.12.0
 - Tokenizers 0.13.3

config.json

@@ -26,6 +26,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.28.0",
+  "transformers_version": "4.29.2",
   "vocab_size": 30522
 }

logs/train/events.out.tfevents.1684664043.ip-172-26-4-203.13365.0.v2

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logs/validation/events.out.tfevents.1684665953.ip-172-26-4-203.13365.1.v2

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tf_model.h5

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