transformers safetensors bert fill-mask generated_from_trainer base_model:bert-large-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: geoplantbert_fill_mask_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# geoplantbert_fill_mask_model

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6236

## 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: 4
- eval_batch_size: 4
- seed: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 4.1929        | 1.0   | 46127  | 3.3831          |
| 3.2569        | 2.0   | 92254  | 2.9780          |
| 2.9787        | 3.0   | 138381 | 2.7813          |
| 2.8294        | 4.0   | 184508 | 2.6708          |
| 2.7486        | 5.0   | 230635 | 2.6236          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
