Model save

README.md

@@ -0,0 +1,68 @@
+---
+license: mit
+base_model: prajjwal1/bert-mini
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: bert-mini-url
+  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. -->
+
+# bert-mini-url
+
+This model is a fine-tuned version of [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0565
+- Accuracy: 0.9873
+- Precision: 0.9848
+- Recall: 0.9912
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|
+| 0.0644        | 1.0   | 32322  | 0.0633          | 0.9815   | 0.9832    | 0.9818 |
+| 0.0579        | 2.0   | 64644  | 0.0572          | 0.9853   | 0.9818    | 0.9906 |
+| 0.0485        | 3.0   | 96966  | 0.0564          | 0.9867   | 0.9859    | 0.9892 |
+| 0.0439        | 4.0   | 129288 | 0.0565          | 0.9873   | 0.9848    | 0.9912 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:993fcd32a94d8571d2511f1bec2223242173cf96c6c93ab71cef78fd8fa88b92
+oid sha256:10e6a5d985e339a8e33fbd4e0f018d19d74e5a657d53eb5bb6cc2163c9737cb1
 size 44692608