End of training

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: VF_BERT_ST_1000
+  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. -->
+
+# VF_BERT_ST_1000
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1765
+- Precision: 0.9705
+- Recall: 0.9755
+- F1: 0.9730
+- Accuracy: 0.9636
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 259  | 0.1575          | 0.9595    | 0.9658 | 0.9626 | 0.9503   |
+| 0.2118        | 2.0   | 518  | 0.1388          | 0.9660    | 0.9743 | 0.9701 | 0.9597   |
+| 0.2118        | 3.0   | 777  | 0.1366          | 0.9688    | 0.9734 | 0.9711 | 0.9613   |
+| 0.0546        | 4.0   | 1036 | 0.1488          | 0.9673    | 0.9726 | 0.9699 | 0.9603   |
+| 0.0546        | 5.0   | 1295 | 0.1663          | 0.9675    | 0.9736 | 0.9705 | 0.9609   |
+| 0.0251        | 6.0   | 1554 | 0.1673          | 0.9685    | 0.9750 | 0.9717 | 0.9628   |
+| 0.0251        | 7.0   | 1813 | 0.1708          | 0.9707    | 0.9753 | 0.9730 | 0.9639   |
+| 0.0133        | 8.0   | 2072 | 0.1707          | 0.9701    | 0.9742 | 0.9721 | 0.9631   |
+| 0.0133        | 9.0   | 2331 | 0.1771          | 0.9703    | 0.9754 | 0.9728 | 0.9635   |
+| 0.0094        | 10.0  | 2590 | 0.1765          | 0.9705    | 0.9755 | 0.9730 | 0.9636   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d4e3332af6e70691f96f5bd0c1f1c6bbb5e0e37a7ddadc3675dd2b003f098db
+oid sha256:55ad98e7fffff2601b7e83ca5f3e70cc83a2ccc2021a3ae31093294f2154375b
 size 435642228

runs/Sep05_13-26-13_2b2d4314c76e/events.out.tfevents.1725542800.2b2d4314c76e.3947.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2b4f74cbcecd83ddbbe7599bf32f676114a0c79377d5f53d44017df678afb76
-size 11296
+oid sha256:799ec291d6a217c29bb4697c8556e3f6139e16e58440edc955a7e9ce5940f6ee
+size 12122