Model save

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+base_model: Hartunka/bert_base_km_5_v2
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+- accuracy
+model-index:
+- name: bert_base_km_5_v2_cola
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert_base_km_5_v2_cola
+
+This model is a fine-tuned version of [Hartunka/bert_base_km_5_v2](https://huggingface.co/Hartunka/bert_base_km_5_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9325
+- Matthews Correlation: 0.0947
+- Accuracy: 0.6366
+
+## 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:
+- learning_rate: 5e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
+| 0.6153        | 1.0   | 34   | 0.6196          | 0.0                  | 0.6913   |
+| 0.5911        | 2.0   | 68   | 0.6109          | 0.0064               | 0.6865   |
+| 0.5354        | 3.0   | 102  | 0.6187          | 0.0696               | 0.6817   |
+| 0.4723        | 4.0   | 136  | 0.6894          | 0.0819               | 0.6587   |
+| 0.4026        | 5.0   | 170  | 0.7198          | 0.1243               | 0.6577   |
+| 0.3374        | 6.0   | 204  | 0.7933          | 0.1073               | 0.6347   |
+| 0.2903        | 7.0   | 238  | 0.9325          | 0.0947               | 0.6366   |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1745268031.s_005_m.2836894.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a139249a757c85b2d1e40be87a4a734ce3bb3c2a4f39d9cbfc1c68bde06f5cbc
-size 7342
+oid sha256:84cb26801095a091e4b5763ec69678b2d0214596f95f2f67675f225bb689c5ab
+size 9490

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab278b8417c19de5d3d02c3a5236ffea7185221115916c3ae65aec072b073fdb
+oid sha256:43bb98cb3c182d9cbf9f8a41d6a4a388947b47f18d110611f85e490504209ef7
 size 437953248