Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tiny_bert_rand_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. -->
+
+# tiny_bert_rand_10_v1_mrpc
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_10_v1](https://huggingface.co/Hartunka/tiny_bert_rand_10_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8937
+- Accuracy: 0.6446
+- F1: 0.7249
+- Combined Score: 0.6847
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.635         | 1.0   | 15   | 0.6054          | 0.6863   | 0.8012 | 0.7438         |
+| 0.5924        | 2.0   | 30   | 0.5896          | 0.6936   | 0.8044 | 0.7490         |
+| 0.5573        | 3.0   | 45   | 0.6041          | 0.6789   | 0.7963 | 0.7376         |
+| 0.5207        | 4.0   | 60   | 0.6189          | 0.6863   | 0.7698 | 0.7280         |
+| 0.4458        | 5.0   | 75   | 0.6644          | 0.6642   | 0.7400 | 0.7021         |
+| 0.3428        | 6.0   | 90   | 0.7664          | 0.6520   | 0.7331 | 0.6925         |
+| 0.2562        | 7.0   | 105  | 0.8937          | 0.6446   | 0.7249 | 0.6847         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744647598.s_005_m.2701049.74

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c605438a8764950c427c6a5dc526c197426ff278feb54155911eda9ad6f8950c
-size 8126
+oid sha256:cadaec1a3758e52b644b75880d376e390d734995fd55e2dab05872a37f28fbf1
+size 9726

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3e16fd3d2128a8df76d6e6ae309e49bf1c674992ab9caf98b9c018677b2d9230
+oid sha256:82d7d0e42f393d16dd4e8b7220b122a0004b2e3509cd04d8a983def9cad061b6
 size 131856744