End of training

README.md

@@ -1,8 +1,10 @@
 ---
-license: mit
-base_model: microsoft/deberta-v3-xsmall
+license: apache-2.0
+base_model: knowledgator/comprehend_it-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: Mongolian_GPT_FakeNews_Comprehendo
   results: []
@@ -13,7 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Mongolian_GPT_FakeNews_Comprehendo
 
-This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on an unknown dataset.
+This model is a fine-tuned version of [knowledgator/comprehend_it-base](https://huggingface.co/knowledgator/comprehend_it-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3175
+- Accuracy: 0.8393
 
 ## Model description
 
@@ -42,6 +47,38 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1788        | 1.0   | 11   | 0.7540          | 0.8571   |
+| 0.2589        | 2.0   | 22   | 0.6399          | 0.8571   |
+| 0.1117        | 3.0   | 33   | 0.6795          | 0.8125   |
+| 0.0829        | 4.0   | 44   | 0.6606          | 0.8571   |
+| 0.0037        | 5.0   | 55   | 0.7375          | 0.8482   |
+| 0.0017        | 6.0   | 66   | 0.8388          | 0.8393   |
+| 0.0009        | 7.0   | 77   | 0.8872          | 0.8393   |
+| 0.0007        | 8.0   | 88   | 0.9371          | 0.8393   |
+| 0.0005        | 9.0   | 99   | 0.9949          | 0.8393   |
+| 0.0004        | 10.0  | 110  | 1.0329          | 0.8393   |
+| 0.0003        | 11.0  | 121  | 1.0626          | 0.8393   |
+| 0.0003        | 12.0  | 132  | 1.0800          | 0.8393   |
+| 0.0002        | 13.0  | 143  | 1.0993          | 0.8393   |
+| 0.0002        | 14.0  | 154  | 1.1330          | 0.8393   |
+| 0.0002        | 15.0  | 165  | 1.1925          | 0.8393   |
+| 0.0001        | 16.0  | 176  | 1.2286          | 0.8393   |
+| 0.0001        | 17.0  | 187  | 1.2468          | 0.8393   |
+| 0.0001        | 18.0  | 198  | 1.2586          | 0.8393   |
+| 0.0001        | 19.0  | 209  | 1.2686          | 0.8393   |
+| 0.0001        | 20.0  | 220  | 1.2758          | 0.8393   |
+| 0.0001        | 21.0  | 231  | 1.2836          | 0.8393   |
+| 0.0001        | 22.0  | 242  | 1.2914          | 0.8393   |
+| 0.0001        | 23.0  | 253  | 1.2978          | 0.8393   |
+| 0.0001        | 24.0  | 264  | 1.3027          | 0.8393   |
+| 0.0001        | 25.0  | 275  | 1.3070          | 0.8393   |
+| 0.0001        | 26.0  | 286  | 1.3106          | 0.8393   |
+| 0.0001        | 27.0  | 297  | 1.3131          | 0.8393   |
+| 0.0001        | 28.0  | 308  | 1.3156          | 0.8393   |
+| 0.0001        | 29.0  | 319  | 1.3170          | 0.8393   |
+| 0.0001        | 30.0  | 330  | 1.3175          | 0.8393   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a303e1e9de239de704d34570cd5e554c39c28da8bef661b23dbcfc754dd18148
 size 737722356

runs/Apr18_08-21-15_7c7dd4242f9a/events.out.tfevents.1713428476.7c7dd4242f9a.6780.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f0d9345ff11130b01be2a91dd97636b2adba978ac6b16ef3f6227be5bb91718
-size 19336
+oid sha256:906f059135cb1ffd9fc9b10935216b9d6a5748433276c3c9f883a687394b0664
+size 21292