transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_model
  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. -->

# my_awesome_eli5_mlm_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0690

## 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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.657         | 1.0   | 1357  | 2.2376          |
| 2.0353        | 2.0   | 2714  | 2.1395          |
| 2.1131        | 3.0   | 4071  | 2.1349          |
| 2.0894        | 4.0   | 5428  | 2.1160          |
| 2.0451        | 5.0   | 6785  | 2.1023          |
| 2.0114        | 6.0   | 8142  | 2.0706          |
| 1.9932        | 7.0   | 9499  | 2.0818          |
| 1.9551        | 8.0   | 10856 | 2.0797          |
| 1.9218        | 9.0   | 12213 | 2.0679          |
| 1.9186        | 10.0  | 13570 | 2.0555          |
| 1.8722        | 11.0  | 14927 | 2.0491          |
| 1.8438        | 12.0  | 16284 | 2.0430          |
| 1.8256        | 13.0  | 17641 | 2.0785          |
| 1.816         | 14.0  | 18998 | 2.0475          |
| 1.766         | 15.0  | 20355 | 2.0607          |
| 1.7689        | 16.0  | 21712 | 2.0758          |
| 1.7354        | 17.0  | 23069 | 2.0443          |
| 1.7548        | 18.0  | 24426 | 2.0540          |
| 1.7188        | 19.0  | 25783 | 2.0538          |
| 1.6965        | 20.0  | 27140 | 2.0513          |
| 1.7066        | 21.0  | 28497 | 2.0490          |
| 1.6711        | 22.0  | 29854 | 2.0513          |
| 1.6549        | 23.0  | 31211 | 2.0515          |
| 1.6577        | 24.0  | 32568 | 2.0498          |
| 1.6214        | 25.0  | 33925 | 2.0438          |
| 1.6057        | 26.0  | 35282 | 2.0488          |
| 1.6001        | 27.0  | 36639 | 2.0541          |
| 1.6148        | 28.0  | 37996 | 2.0475          |
| 1.6062        | 29.0  | 39353 | 2.0325          |
| 1.5588        | 30.0  | 40710 | 2.0191          |
| 1.5607        | 31.0  | 42067 | 2.0388          |
| 1.5558        | 32.0  | 43424 | 2.0510          |
| 1.5453        | 33.0  | 44781 | 2.0344          |
| 1.5322        | 34.0  | 46138 | 2.0475          |
| 1.5437        | 35.0  | 47495 | 2.0348          |
| 1.5306        | 36.0  | 48852 | 2.0493          |
| 1.5184        | 37.0  | 50209 | 2.0489          |
| 1.5131        | 38.0  | 51566 | 2.0512          |
| 1.4835        | 39.0  | 52923 | 2.0650          |
| 1.4758        | 40.0  | 54280 | 2.0277          |
| 1.4841        | 41.0  | 55637 | 2.0662          |
| 1.4877        | 42.0  | 56994 | 2.0451          |
| 1.4691        | 43.0  | 58351 | 2.0401          |
| 1.4565        | 44.0  | 59708 | 2.0735          |
| 1.4654        | 45.0  | 61065 | 2.0493          |
| 1.4432        | 46.0  | 62422 | 2.0325          |
| 1.4763        | 47.0  | 63779 | 2.0493          |
| 1.4511        | 48.0  | 65136 | 2.0284          |
| 1.4633        | 49.0  | 66493 | 2.0282          |
| 1.4457        | 50.0  | 67850 | 2.0690          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
