Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/distilbert_km_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert_km_10_v1_mrpc
+  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_10_v1_mrpc
+
+This model is a fine-tuned version of [Hartunka/distilbert_km_10_v1](https://huggingface.co/Hartunka/distilbert_km_10_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3928
+- Accuracy: 0.6225
+- F1: 0.7179
+- Combined Score: 0.6702
+
+## 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 | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6306        | 1.0   | 15   | 0.6150          | 0.6863   | 0.7922 | 0.7392         |
+| 0.5631        | 2.0   | 30   | 0.5971          | 0.6985   | 0.8128 | 0.7557         |
+| 0.485         | 3.0   | 45   | 0.6306          | 0.7010   | 0.8051 | 0.7530         |
+| 0.3824        | 4.0   | 60   | 0.7184          | 0.6618   | 0.7612 | 0.7115         |
+| 0.2587        | 5.0   | 75   | 0.9183          | 0.6201   | 0.7081 | 0.6641         |
+| 0.152         | 6.0   | 90   | 1.0391          | 0.6225   | 0.7050 | 0.6638         |
+| 0.0757        | 7.0   | 105  | 1.3928          | 0.6225   | 0.7179 | 0.6702         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744670918.s_005_m.602156.20

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9bf7113f9a973c4e2d0d8462ef579fc13c582800769b52afeb40b845de9cbcc4
-size 8123
+oid sha256:21f6a8c2c7387a421e58e2b8afacd25dabf86296b2b22e37b333b4c6f84370eb
+size 9723

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:981ade7d8e7e07b6b04f8bba6313fa3091db14d5d3591f988fefab76a0dc9dcb
+oid sha256:ec5186e7e284d56be52d6863e64034f20a91610507514b4d8e45d0b4adab8054
 size 267832560