Model save

README.md

@@ -0,0 +1,69 @@
+---
+base_model: Hartunka/tiny_bert_rand_50_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tiny_bert_rand_50_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. -->
+
+# tiny_bert_rand_50_v1_mrpc
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v1](https://huggingface.co/Hartunka/tiny_bert_rand_50_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0427
+- Accuracy: 0.6814
+- F1: 0.7833
+- Combined Score: 0.7324
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6286        | 1.0   | 15   | 0.6045          | 0.6863   | 0.8019 | 0.7441         |
+| 0.5948        | 2.0   | 30   | 0.5950          | 0.6985   | 0.8087 | 0.7536         |
+| 0.556         | 3.0   | 45   | 0.5949          | 0.6814   | 0.7937 | 0.7375         |
+| 0.5107        | 4.0   | 60   | 0.6383          | 0.7108   | 0.7958 | 0.7533         |
+| 0.4193        | 5.0   | 75   | 0.6820          | 0.6495   | 0.7366 | 0.6931         |
+| 0.3479        | 6.0   | 90   | 0.8077          | 0.7034   | 0.8    | 0.7517         |
+| 0.2647        | 7.0   | 105  | 0.8842          | 0.6838   | 0.7795 | 0.7317         |
+| 0.1929        | 8.0   | 120  | 1.0427          | 0.6814   | 0.7833 | 0.7324         |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

logs/events.out.tfevents.1744824199.s_004_m

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6fc4698558ac78133d3d69879ce4fc6484db27320aeeadf627e109d4c962e87
-size 7370
+oid sha256:bc4cc3408a5c966407c01b3b1feefb11217141831f4022d35c3d5bbf0fef77f0
+size 10015

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15297139040e3a63b5b3b5adff46689977135bad1e5132afd51490cdb5fa343c
+oid sha256:78229c77eb06539e1d45b48e59d7ef2030a168a14ab865211f1deb7c61c20af4
 size 131856744