---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-wls-manual-9ep-lower
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-wls-manual-9ep-lower

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2788

## 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: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1096        | 0.93  | 7    | 1.9445          |
| 1.5963        | 2.0   | 15   | 1.5711          |
| 1.4734        | 2.93  | 22   | 1.4391          |
| 1.3716        | 4.0   | 30   | 1.4138          |
| 1.2719        | 4.93  | 37   | 1.2480          |
| 1.2486        | 6.0   | 45   | 1.2483          |
| 1.2156        | 6.93  | 52   | 1.2662          |
| 1.1523        | 8.0   | 60   | 1.3172          |
| 1.1596        | 8.4   | 63   | 1.2467          |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3