End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: COPA_20_shot
+  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. -->
+
+# COPA_20_shot
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6896
+- F1: 0.582
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| No log        | 1.0   | 2    | 0.6929          | 0.558 |
+| No log        | 2.0   | 4    | 0.6933          | 0.564 |
+| No log        | 3.0   | 6    | 0.6920          | 0.582 |
+| No log        | 4.0   | 8    | 0.6913          | 0.584 |
+| No log        | 5.0   | 10   | 0.6907          | 0.584 |
+| No log        | 6.0   | 12   | 0.6904          | 0.58  |
+| No log        | 7.0   | 14   | 0.6904          | 0.582 |
+| No log        | 8.0   | 16   | 0.6902          | 0.574 |
+| No log        | 9.0   | 18   | 0.6898          | 0.582 |
+| No log        | 10.0  | 20   | 0.6896          | 0.582 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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