Model save

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- matthews_correlation
+- accuracy
+model-index:
+- name: tiny_bert_rand_10_v1_cola
+  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_cola
+
+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: 0.8305
+- Matthews Correlation: 0.0734
+- Accuracy: 0.6357
+
+## 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 | Matthews Correlation | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
+| 0.6189        | 1.0   | 34   | 0.6156          | 0.0                  | 0.6913   |
+| 0.6016        | 2.0   | 68   | 0.6129          | 0.0                  | 0.6913   |
+| 0.5821        | 3.0   | 102  | 0.6126          | 0.0364               | 0.6913   |
+| 0.5453        | 4.0   | 136  | 0.6591          | 0.0868               | 0.6798   |
+| 0.4994        | 5.0   | 170  | 0.6550          | 0.1096               | 0.6702   |
+| 0.4658        | 6.0   | 204  | 0.7170          | 0.1018               | 0.6462   |
+| 0.4329        | 7.0   | 238  | 0.7630          | 0.0867               | 0.6290   |
+| 0.4002        | 8.0   | 272  | 0.8305          | 0.0734               | 0.6357   |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744647534.s_005_m.2701049.72

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0390733b0bd5bf4e41bf4c37ebdc7bb2e96eaf9a9005fd1ab0b6a6def3c270e4
-size 9147
+oid sha256:13b983c69ab0023b7cbe0feff96f853265a4d777529028bff7e9b6ac8bc2c59c
+size 10099

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:36bf76e260850ad9d4fc1e33bb4079130605541bf9c66ce9f949cab0838b2e9b
+oid sha256:632b877369995b1d42d2556df620f1565b057c4c8b0f70884ede67c7cb09243e
 size 131856744