Upload 9 files

__huggingface_repos__.json

@@ -1 +1 @@
-{"repos": [{"repoId": "microsoft/deberta-base", "repoType": "model", "commitHash": "0d1b43ccf21b5acd9f4e5f7b077fa698f05cf195", "filePaths": ["config.json", "vocab.json", "pytorch_model.bin", "merges.txt", "tokenizer_config.json"]}, {"repoId": "microsoft/deberta-base", "repoType": "model", "commitHash": "315ff8e6747aba12a2074c165fcc7e47d2cec9b4", "filePaths": ["model.safetensors"]}]}
+{"repos": [{"repoId": "microsoft/deberta-base", "repoType": "model", "commitHash": "0d1b43ccf21b5acd9f4e5f7b077fa698f05cf195", "filePaths": ["tokenizer_config.json", "merges.txt", "vocab.json", "config.json", "tf_model.h5"]}]}

classification_report.txt

@@ -2,15 +2,15 @@ Microaggression Detection Model - Classification Report
 ============================================================
 
 Model: microsoft/deberta-base
-Dataset shape: (48272, 10)
-Training samples: 38617
-Validation samples: 9655
+Dataset shape: (52275, 10)
+Training samples: 41820
+Validation samples: 10455
 
                      precision    recall  f1-score   support
 
-Not Microaggression     0.9996    0.9989    0.9993      4717
-    Microaggression     0.9990    0.9996    0.9993      4938
+Not Microaggression     0.9988    0.9982    0.9985      5116
+    Microaggression     0.9983    0.9989    0.9986      5339
 
-           accuracy                         0.9993      9655
-          macro avg     0.9993    0.9993    0.9993      9655
-       weighted avg     0.9993    0.9993    0.9993      9655
+           accuracy                         0.9986     10455
+          macro avg     0.9986    0.9986    0.9986     10455
+       weighted avg     0.9986    0.9986    0.9986     10455

config.json

@@ -25,7 +25,6 @@
   ],
   "position_biased_input": false,
   "relative_attention": true,
-  "torch_dtype": "float32",
   "transformers_version": "4.52.4",
   "type_vocab_size": 0,
   "vocab_size": 50265

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffb0bc75d004bb4bf08b9ad5f6e8e1369bfb1daa7a27b8b7b9bc1c84c3e552b0
+size 557067272

training_config.txt

@@ -3,11 +3,13 @@ Microaggression Detection Model - Training Configuration
 
 Model Name: microsoft/deberta-base
 Max Length: 128
-Batch Size: 16
+Batch Size: 32
 Epochs: 5
 Learning Rate: 2e-05
 Patience: 2
-Dataset Shape: (48272, 10)
-Training Samples: 38617
-Validation Samples: 9655
+Dataset Shape: (52275, 10)
+Training Samples: 41820
+Validation Samples: 10455
 Model Parameters: 139,193,858
+
+NOTE: Model trained on combined text + context using [SEP] token