End of training

README.md

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+---
+license: apache-2.0
+base_model: albert/albert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: lenate_model_12_albert-base-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. -->
+
+# lenate_model_12_albert-base-v2
+
+This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5494
+- Accuracy: 0.7622
+
+## 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 355  | 0.6467          | 0.7212   |
+| 0.7746        | 2.0   | 710  | 0.5847          | 0.7241   |
+| 0.5448        | 3.0   | 1065 | 0.5494          | 0.7622   |
+| 0.5448        | 4.0   | 1420 | 0.6416          | 0.7368   |
+| 0.3705        | 5.0   | 1775 | 0.6439          | 0.7735   |
+| 0.2112        | 6.0   | 2130 | 0.8791          | 0.7643   |
+| 0.2112        | 7.0   | 2485 | 1.1350          | 0.7657   |
+| 0.1012        | 8.0   | 2840 | 1.3247          | 0.7721   |
+| 0.0294        | 9.0   | 3195 | 1.4469          | 0.7699   |
+| 0.0112        | 10.0  | 3550 | 1.4783          | 0.7699   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

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