Model save

README.md

@@ -0,0 +1,63 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tiny_bert_km_50_v2
+  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
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.0453
+- Accuracy: 0.1502
+
+## 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: 0.0001
+- train_batch_size: 96
+- eval_batch_size: 96
+- seed: 10
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10000
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 7.0543        | 4.1982  | 10000 | 7.0519          | 0.1467   |
+| 6.6574        | 8.3963  | 20000 | 6.9088          | 0.1517   |
+| 6.4302        | 12.5945 | 30000 | 6.9433          | 0.1537   |
+| 6.2677        | 16.7926 | 40000 | 7.0326          | 0.1517   |
+| 6.1767        | 20.9908 | 50000 | 7.0453          | 0.1502   |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:24c670e174a2ddc5b6be4b4cbcac8366f58bb107240fda87a2d3d1516f09b7d4
+oid sha256:cd88276a78f9bdf04eee8456c7c67a7a72f0d2e55b705e94d9fde2017855351b
 size 133132568