End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-qasports-basket-small
+  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. -->
+
+# distilbert-qasports-basket-small
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4353
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 162  | 1.5757          |
+| No log        | 2.0   | 324  | 1.2079          |
+| No log        | 3.0   | 486  | 1.1946          |
+| 1.6938        | 4.0   | 648  | 1.2071          |
+| 1.6938        | 5.0   | 810  | 1.2500          |
+| 1.6938        | 6.0   | 972  | 1.3132          |
+| 0.4045        | 7.0   | 1134 | 1.3599          |
+| 0.4045        | 8.0   | 1296 | 1.3778          |
+| 0.4045        | 9.0   | 1458 | 1.4255          |
+| 0.1872        | 10.0  | 1620 | 1.4353          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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