---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/bert_uncased_L-2_H-128_A-2
model-index:
- name: tiny-mlm-snli-plain_text
  results: []
---

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

This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1233

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.665         | 0.4   | 500  | 3.2495          |
| 3.4103        | 0.8   | 1000 | nan             |
| 3.2635        | 1.2   | 1500 | 3.1518          |
| 3.1738        | 1.6   | 2000 | 3.1555          |
| 3.0556        | 2.0   | 2500 | 3.0593          |
| 2.9933        | 2.4   | 3000 | 3.0970          |
| 2.9019        | 2.8   | 3500 | 3.0773          |
| 2.876         | 3.2   | 4000 | 3.1233          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2