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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_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
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