Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/distilbert_rand_100_v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert_rand_100_v2_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_rand_100_v2_mrpc
+
+This model is a fine-tuned version of [Hartunka/distilbert_rand_100_v2](https://huggingface.co/Hartunka/distilbert_rand_100_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4994
+- Accuracy: 0.6324
+- F1: 0.7082
+- Combined Score: 0.6703
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6269        | 1.0   | 15   | 0.6202          | 0.6716   | 0.7752 | 0.7234         |
+| 0.5818        | 2.0   | 30   | 0.5903          | 0.6936   | 0.7974 | 0.7455         |
+| 0.5151        | 3.0   | 45   | 0.6081          | 0.6887   | 0.7928 | 0.7408         |
+| 0.412         | 4.0   | 60   | 0.7463          | 0.6446   | 0.7259 | 0.6853         |
+| 0.2566        | 5.0   | 75   | 1.0279          | 0.6373   | 0.7197 | 0.6785         |
+| 0.1435        | 6.0   | 90   | 1.2920          | 0.6495   | 0.7327 | 0.6911         |
+| 0.0905        | 7.0   | 105  | 1.4994          | 0.6324   | 0.7082 | 0.6703         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1745376000.s_005_m.2850345.164

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62c6212b0e900cfaf64bf94699a6ef385b62eaf33da5ec168654cd3a058c6f42
-size 8136
+oid sha256:8b54877b99e18f4a3ee0ad16d6e8ecfa44dfc6829060a7ee3cf2236f0f0ad173
+size 9736

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43efd7a5394890c39c9fa82c6aad17d63fda2afb016ce9c01d7959a8a825f5a0
+oid sha256:8b65a8fc6ce4ca00bce335d6d311360ec500d64cf259370774eefd2b27b7b5d0
 size 267832560