Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ 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: 0.9764
-- Train End Logits Accuracy: 0.7299
-- Train Start Logits Accuracy: 0.6920
-- Validation Loss: 1.1195
-- Validation End Logits Accuracy: 0.6984
-- Validation Start Logits Accuracy: 0.6608
-- Epoch: 1
+- Train Loss: 1.4865
+- Train End Logits Accuracy: 0.6139
+- Train Start Logits Accuracy: 0.5726
+- Validation Loss: 1.1547
+- Validation End Logits Accuracy: 0.6844
+- Validation Start Logits Accuracy: 0.6534
+- Epoch: 0
 
 ## Model description
 
@@ -47,13 +47,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 1.5174     | 0.6040                    | 0.5661                      | 1.1576          | 0.6872                         | 0.6507                           | 0     |
-| 0.9764     | 0.7299                    | 0.6920                      | 1.1195          | 0.6984                         | 0.6608                           | 1     |
+| 1.4865     | 0.6139                    | 0.5726                      | 1.1547          | 0.6844                         | 0.6534                           | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.40.0
-- TensorFlow 2.15.0
+- Transformers 4.40.1
+- TensorFlow 2.16.1
 - Datasets 2.19.0
 - Tokenizers 0.19.1

config.json

@@ -18,6 +18,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.40.0",
+  "transformers_version": "4.40.1",
   "vocab_size": 30522
 }

logs/train/events.out.tfevents.1714096873.zeus050.13593.0.v2

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+size 78

tf_model.h5

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