Model save

README.md

@@ -0,0 +1,63 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bert_uncased_L-4_H-512_A-8
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tinybert_base_train_book_ent_15p_s
+  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. -->
+
+# tinybert_base_train_book_ent_15p_s
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0813
+- Accuracy: 0.1902
+
+## 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: 200
+- eval_batch_size: 200
+- 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
+- lr_scheduler_warmup_steps: 10000
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 6.2585        | 8.7413  | 10000 | 5.0371          | 0.1552   |
+| 4.482         | 17.4825 | 20000 | 5.0813          | 0.1902   |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu126
+- Datasets 3.5.0
+- Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4dcd37936cdd409da64a715d631788b190262a313b3932c6c5b3d56d2bd7395
+oid sha256:758d371f5973502beecf0eef40768d481bc69ca566c0630925569d3a12b65d3e
 size 115189296