End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: squad_distilbert
+  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. -->
+
+# squad_distilbert
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5411
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.2592        | 1.0   | 2738  | 1.1407          |
+| 0.9254        | 2.0   | 5476  | 1.1297          |
+| 0.7153        | 3.0   | 8214  | 1.1560          |
+| 0.5814        | 4.0   | 10952 | 1.2990          |
+| 0.4528        | 5.0   | 13690 | 1.4225          |
+| 0.3592        | 6.0   | 16428 | 1.5411          |
+| 0.2932        | 7.0   | 19166 | 1.6802          |
+| 0.2383        | 8.0   | 21904 | 1.7984          |
+| 0.1898        | 9.0   | 24642 | 1.9599          |
+| 0.1553        | 10.0  | 27380 | 2.1424          |
+| 0.1297        | 11.0  | 30118 | 2.2808          |
+| 0.1074        | 12.0  | 32856 | 2.3198          |
+| 0.0922        | 13.0  | 35594 | 2.3774          |
+| 0.08          | 14.0  | 38332 | 2.5194          |
+| 0.0678        | 15.0  | 41070 | 2.5411          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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