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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- test_data_huggingface
metrics:
- f1
model-index:
- name: test_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: test_data_huggingface
type: test_data_huggingface
config: default
split: test
args: default
metrics:
- name: F1
type: f1
value: 0.8808660461929578
---
<!-- 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. -->
# test_model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data_huggingface dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6842
- F1: 0.8809
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 47 | 1.0471 | 0.6157 |
| No log | 2.0 | 94 | 0.7371 | 0.6955 |
| No log | 3.0 | 141 | 0.6842 | 0.8809 |
### Framework versions
- Transformers 4.29.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
|