End of training

README.md

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+---
+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: BERT_ST_DA_100_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. -->
+
+# BERT_ST_DA_100_v2
+
+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: 0.2371
+- Precision: 0.9457
+- Recall: 0.9480
+- F1: 0.9469
+- Accuracy: 0.9446
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 59   | 0.3489          | 0.9065    | 0.9194 | 0.9129 | 0.9085   |
+| No log        | 2.0   | 118  | 0.2883          | 0.9190    | 0.9267 | 0.9228 | 0.9180   |
+| No log        | 3.0   | 177  | 0.2505          | 0.9322    | 0.9403 | 0.9362 | 0.9330   |
+| No log        | 4.0   | 236  | 0.2300          | 0.9384    | 0.9446 | 0.9415 | 0.9384   |
+| No log        | 5.0   | 295  | 0.2305          | 0.9397    | 0.9435 | 0.9416 | 0.9386   |
+| No log        | 6.0   | 354  | 0.2332          | 0.9443    | 0.9482 | 0.9462 | 0.9438   |
+| No log        | 7.0   | 413  | 0.2341          | 0.9433    | 0.9468 | 0.9450 | 0.9429   |
+| No log        | 8.0   | 472  | 0.2364          | 0.9441    | 0.9474 | 0.9457 | 0.9430   |
+| 0.1814        | 9.0   | 531  | 0.2339          | 0.9457    | 0.9472 | 0.9465 | 0.9439   |
+| 0.1814        | 10.0  | 590  | 0.2371          | 0.9457    | 0.9480 | 0.9469 | 0.9446   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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