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 [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2561
-- Validation Loss: 0.2081
-- Train Accuracy: 0.9176
+- Train Loss: 0.2493
+- Validation Loss: 0.1893
+- Train Accuracy: 0.926
 - Epoch: 0
 
 ## Model description
@@ -44,12 +44,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2561     | 0.2081          | 0.9176         | 0     |
+| 0.2493     | 0.1893          | 0.926          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
+- Transformers 4.41.1
 - TensorFlow 2.15.0
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -26,6 +26,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.41.0",
+  "transformers_version": "4.41.1",
   "vocab_size": 30522
 }

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:55fe2ef84ce352cfc812ad617a165b1da880fdecb4bdfe3bc271c8443eb3e055
 size 267951808