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_10
+  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_10
+
+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: 0.1105
+- Accuracy: 0.9640
+
+## 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   | 28   | 0.7205          | 0.9189   |
+| No log        | 2.0   | 56   | 0.2958          | 0.9550   |
+| No log        | 3.0   | 84   | 0.1696          | 0.9550   |
+| No log        | 4.0   | 112  | 0.1309          | 0.9550   |
+| No log        | 5.0   | 140  | 0.1216          | 0.9550   |
+| No log        | 6.0   | 168  | 0.1105          | 0.9640   |
+| No log        | 7.0   | 196  | 0.1173          | 0.9550   |
+| No log        | 8.0   | 224  | 0.1159          | 0.9550   |
+| No log        | 9.0   | 252  | 0.1164          | 0.9550   |
+| No log        | 10.0  | 280  | 0.1181          | 0.9550   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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