Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_50_v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tiny_bert_rand_50_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. -->
+
+# tiny_bert_rand_50_v2_mrpc
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v2](https://huggingface.co/Hartunka/tiny_bert_rand_50_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9303
+- Accuracy: 0.6740
+- F1: 0.7734
+- Combined Score: 0.7237
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6271        | 1.0   | 15   | 0.6033          | 0.6961   | 0.8092 | 0.7527         |
+| 0.5912        | 2.0   | 30   | 0.5925          | 0.6985   | 0.8099 | 0.7542         |
+| 0.5551        | 3.0   | 45   | 0.6019          | 0.6863   | 0.7994 | 0.7428         |
+| 0.5148        | 4.0   | 60   | 0.6426          | 0.6422   | 0.7214 | 0.6818         |
+| 0.43          | 5.0   | 75   | 0.6741          | 0.6225   | 0.7105 | 0.6665         |
+| 0.3406        | 6.0   | 90   | 0.8508          | 0.6373   | 0.7422 | 0.6897         |
+| 0.2595        | 7.0   | 105  | 0.9303          | 0.6740   | 0.7734 | 0.7237         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1745316431.s_005_m.2850172.38

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42223a987bbb51b2dda363aa05a59252dfd0be99600eff6c9f30515e9807c497
-size 8126
+oid sha256:2beb4b8fc545cf7f10a8ae3df24699916f605518ad40293a861d35b704cdf6e9
+size 9726

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0c2b039718da7f8f9bf9094d69b660af4fc7534e42ab44c09b2d3cff0705fdc
+oid sha256:29174d08189d13bcaf4a428139ff0755448faabf967fde2364f1822df13c20e3
 size 131856744