---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-mini-mlm-finetuned-emotion
  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. -->

# bert-mini-mlm-finetuned-emotion

This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0041

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.3034        | 22.73  | 500  | 3.0423          |
| 3.0612        | 45.45  | 1000 | 3.0242          |
| 2.9507        | 68.18  | 1500 | 2.9806          |
| 2.8609        | 90.91  | 2000 | 3.0442          |
| 2.7887        | 113.64 | 2500 | 3.0179          |
| 2.7104        | 136.36 | 3000 | 3.0041          |


### Framework versions

- Transformers 4.25.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2