transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:bert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bookcorpus_MLM
  results: []
---

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

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6289

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1925        | 1.0   | 4049  | 1.0941          |
| 1.012         | 2.0   | 8098  | 0.9231          |
| 0.9068        | 3.0   | 12147 | 0.8259          |
| 0.8381        | 4.0   | 16196 | 0.7710          |
| 0.8017        | 5.0   | 20245 | 0.7348          |
| 0.7567        | 6.0   | 24294 | 0.6943          |
| 0.7331        | 7.0   | 28343 | 0.6644          |
| 0.7032        | 8.0   | 32392 | 0.6530          |
| 0.6871        | 9.0   | 36441 | 0.6364          |
| 0.6761        | 10.0  | 40490 | 0.6293          |


### Framework versions

- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
