fix exchanged models

README.md

@@ -1,13 +1,16 @@
 ---
 license: cc-by-2.0
+language:
+- bg
+metrics:
+- accuracy
 ---
 
-# Model Card for bert-deepfake-bg
+# Model Card for BERT-DEEPFAKE-BG-MULTICLASS
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This model is finetuned [usmiva/bert-web-bg](https://huggingface.co/usmiva/bert-web-bg)
-
+This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
 
 ## Model Details
 
@@ -17,19 +20,19 @@ This model is finetuned [usmiva/bert-web-bg](https://huggingface.co/usmiva/bert-
 
 
 
-- **Developed by:** [Iva Marinova](https://huggingface.co/usmiva)
-- **Shared by [optional]:** The Big Data for Smart Society Institute (GATE), Bulgaria, Sofia
-- **Model type:** BERT
-- **Language(s) (NLP):** Bulgarian
+- **Developed by:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [usmiva/bert-web-bg](https://huggingface.co/usmiva/bert-web-bg)
+- **Finetuned from model [optional]:** [More Information Needed]
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
 - **Repository:** [More Information Needed]
-- **Paper [optional]:** TBA
+- **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
 ## Uses
@@ -195,6 +198,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Model Card Contact
 
-[More Information Needed]
-
-
+[More Information Needed]

config.json

@@ -8,18 +8,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
-  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

optimizer.pt

@@ -1,3 +1,3 @@
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-size 872791837
+oid sha256:993b9cf72dad14dc5045d358035d3852573270e6374e90370368c1078d18f0c7
+size 872785693

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 436408685
+oid sha256:5b6cefcae1006d177246e3469c115be6bc4bcbdbdeecb4f74d3450a147e7351a
+size 436405613

trainer_state.json

@@ -10,82 +10,82 @@
     {
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   "trial_name": null,
   "trial_params": null
 }

training_args.bin

@@ -1,3 +1,3 @@
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 size 3375