Model save

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+base_model: Hartunka/distilbert_km_5_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert_km_5_v1_mnli
+  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. -->
+
+# distilbert_km_5_v1_mnli
+
+This model is a fine-tuned version of [Hartunka/distilbert_km_5_v1](https://huggingface.co/Hartunka/distilbert_km_5_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1596
+- Accuracy: 0.6695
+
+## 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 | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.9818        | 1.0   | 1534  | 0.9036          | 0.5685   |
+| 0.8685        | 2.0   | 3068  | 0.8275          | 0.6330   |
+| 0.7685        | 3.0   | 4602  | 0.7766          | 0.6604   |
+| 0.6808        | 4.0   | 6136  | 0.7729          | 0.6723   |
+| 0.602         | 5.0   | 7670  | 0.7901          | 0.6698   |
+| 0.5232        | 6.0   | 9204  | 0.8526          | 0.6745   |
+| 0.4484        | 7.0   | 10738 | 0.9103          | 0.6754   |
+| 0.3773        | 8.0   | 12272 | 1.0193          | 0.6649   |
+| 0.3169        | 9.0   | 13806 | 1.1596          | 0.6695   |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744667529.s_005_m.602156.16

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a085c5d7819f5f64b17c2f562b749a735d13f6fed6482bd0dbd6a89143eaf45
-size 9357
+oid sha256:a4694f158a055a6803a5b06070c9b80d2cd354c2e7b9342666da2801dd3a04a7
+size 10245

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5e3b246460e186ed5196f4c20318564c7897e7978f9d22c48d100f47f84df36a
+oid sha256:2c83711e57c4a9129e436276c61f66d2e6fe04c5ac354783cfcf13f3304e70b6
 size 267835644