Upload TFDistilBertForSequenceClassification

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
@@ -15,9 +16,9 @@ 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: 0.0997
-- Validation Loss: 0.0472
-- Train Accuracy: 0.99
+- Train Loss: 0.1058
+- Validation Loss: 0.0557
+- Train Accuracy: 0.988
 - Epoch: 2
 
 ## Model description
@@ -44,14 +45,14 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.4132     | 0.2321          | 0.906          | 0     |
-| 0.1900     | 0.1016          | 0.976          | 1     |
-| 0.0997     | 0.0472          | 0.99           | 2     |
+| 0.4628     | 0.2186          | 0.926          | 0     |
+| 0.2093     | 0.0990          | 0.974          | 1     |
+| 0.1058     | 0.0557          | 0.988          | 2     |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- TensorFlow 2.15.0
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.48.3
+- TensorFlow 2.18.0
+- Datasets 3.4.1
+- Tokenizers 0.21.1

config.json

@@ -26,6 +26,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.48.3",
   "vocab_size": 30522
 }

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:69b302d08e59559beb41da01b1a057e6a9a4e3589871ad44d2d5eeb9e6b5089f
 size 267951808