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_8
+  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_8
+
+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: 0.3136
+- Accuracy: 0.9375
+
+## 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   | 8    | 0.8432          | 0.7188   |
+| No log        | 2.0   | 16   | 0.7205          | 0.7188   |
+| No log        | 3.0   | 24   | 0.6494          | 0.7188   |
+| No log        | 4.0   | 32   | 0.5616          | 0.7188   |
+| No log        | 5.0   | 40   | 0.4818          | 0.8438   |
+| No log        | 6.0   | 48   | 0.4141          | 0.8438   |
+| No log        | 7.0   | 56   | 0.3831          | 0.875    |
+| No log        | 8.0   | 64   | 0.3406          | 0.875    |
+| No log        | 9.0   | 72   | 0.3200          | 0.9375   |
+| No log        | 10.0  | 80   | 0.3136          | 0.9375   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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