End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: lenate_model_11_distilbert_trained
+  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_11_distilbert_trained
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5964
+- Accuracy: 0.7332
+
+## 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  | 0.6187          | 0.7163   |
+| 0.668         | 2.0   | 710  | 0.5964          | 0.7332   |
+| 0.4256        | 3.0   | 1065 | 0.6048          | 0.7615   |
+| 0.4256        | 4.0   | 1420 | 0.6930          | 0.7685   |
+| 0.2576        | 5.0   | 1775 | 0.8426          | 0.7502   |
+| 0.1593        | 6.0   | 2130 | 1.0264          | 0.7565   |
+| 0.1593        | 7.0   | 2485 | 1.1487          | 0.7586   |
+| 0.0968        | 8.0   | 2840 | 1.3436          | 0.7530   |
+| 0.0456        | 9.0   | 3195 | 1.3743          | 0.7594   |
+| 0.0342        | 10.0  | 3550 | 1.3954          | 0.7594   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

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