Model save

README.md

@@ -0,0 +1,67 @@
+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_km_50_v2
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_km_50_v2_stsb
+  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_km_50_v2_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_50_v2](https://huggingface.co/Hartunka/tiny_bert_km_50_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6151
+- Pearson: 0.2652
+- Spearmanr: 0.2647
+- Combined Score: 0.2649
+
+## 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 | Pearson | Spearmanr | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.769         | 1.0   | 23   | 2.2703          | 0.0633  | 0.0604    | 0.0619         |
+| 2.1015        | 2.0   | 46   | 2.4637          | 0.0982  | 0.0916    | 0.0949         |
+| 1.9322        | 3.0   | 69   | 2.4902          | 0.1389  | 0.1233    | 0.1311         |
+| 1.7867        | 4.0   | 92   | 2.2723          | 0.2538  | 0.2474    | 0.2506         |
+| 1.5685        | 5.0   | 115  | 2.7302          | 0.2094  | 0.2023    | 0.2059         |
+| 1.3328        | 6.0   | 138  | 2.6151          | 0.2652  | 0.2647    | 0.2649         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1745285833.s_005_m.2836625.66

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1e2eb3b2c286714f40294ef3e23769d67e789c635a27f3efc66ec6fdfa59f8fb
-size 7528
+oid sha256:ab01583608a473508570b1b43edf5050c7d70174199347f92cedc712ad24768a
+size 9158

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:28e29f617044c7deb0b5e89a6d47a5ae8ccbac5e7e7d82562baacfc57df23524
+oid sha256:08032e260f5baca4a6dd6dcf6ea0107d68f114bc395c493f0157d5eee6070901
 size 131854692