---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_10_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_10_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: 0.6909
- F1: 0.572

## 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: 8
- eval_batch_size: 8
- 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    | 0.6965          | 0.548 |
| No log        | 2.0   | 4    | 0.6971          | 0.534 |
| No log        | 3.0   | 6    | 0.6951          | 0.554 |
| No log        | 4.0   | 8    | 0.6936          | 0.556 |
| No log        | 5.0   | 10   | 0.6926          | 0.568 |
| No log        | 6.0   | 12   | 0.6923          | 0.562 |
| No log        | 7.0   | 14   | 0.6919          | 0.57  |
| No log        | 8.0   | 16   | 0.6914          | 0.566 |
| No log        | 9.0   | 18   | 0.6910          | 0.574 |
| No log        | 10.0  | 20   | 0.6909          | 0.572 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3