Upload TFRobertaForSequenceClassification

README.md

@@ -0,0 +1,46 @@
+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: tweet-topic-latest-multi
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# tweet-topic-latest-multi
+
+This model is a fine-tuned version of [antypasd/tweet-topic-latest-multi](https://huggingface.co/antypasd/tweet-topic-latest-multi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- TensorFlow 2.10.0
+- Tokenizers 0.13.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./troberta-2022-sep_multi/",
+  "_name_or_path": "antypasd/tweet-topic-latest-multi",
   "architectures": [
     "RobertaForSequenceClassification"
   ],

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e997b03cb1c6735730f57991bfac808745ef7f5733a1a20dad2ef5e91a34625
+size 498930496