Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ 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: 0.1199
-- Validation Loss: 0.0571
-- Train Accuracy: 0.9777
-- Train F1: 0.9777
+- Train Loss: 0.1207
+- Validation Loss: 0.0677
+- Train Accuracy: 0.9723
+- Train F1: 0.9726
 - Epoch: 0
 
 ## Model description
@@ -45,12 +45,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:--------:|:-----:|
-| 0.1199     | 0.0571          | 0.9777         | 0.9777   | 0     |
+| 0.1207     | 0.0677          | 0.9723         | 0.9726   | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.33.1
 - TensorFlow 2.12.0
-- Datasets 2.14.4
+- Datasets 2.14.5
 - Tokenizers 0.13.3

config.json

@@ -26,6 +26,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.33.0",
+  "transformers_version": "4.33.1",
   "vocab_size": 30522
 }

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 267955144
+oid sha256:9f0be40038842f802998f6cf60e242252955342cc2c45ef7b26680801f77faf0
+size 267951808