fix the exchange of models

README.md

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

config.json

@@ -8,8 +8,18 @@
   "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 872785693
+oid sha256:5a014601b702578cc776869792cfad33ac306782f2ea7fb91879c11de25381f4
+size 872791837

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:5b6cefcae1006d177246e3469c115be6bc4bcbdbdeecb4f74d3450a147e7351a
-size 436405613
+oid sha256:43c5b90ae9a404e4faad333879cb90b39f8b22ef37311fce1a242bb59dc8ec00
+size 436408685

trainer_state.json

@@ -10,82 +10,82 @@
     {
       "epoch": 1.0,
       "learning_rate": 4e-05,
-      "loss": 0.2585,
+      "loss": 0.3063,
       "step": 500
     },
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-      "eval_steps_per_second": 6.992,
+      "eval_accuracy": 0.9211165048543689,
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+      "eval_runtime": 7.3979,
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     {
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       "learning_rate": 3e-05,
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   "max_steps": 2500,
   "num_train_epochs": 5,
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+  "total_flos": 1.052453670912e+16,
   "trial_name": null,
   "trial_params": null
 }

training_args.bin

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