---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: mobilebert_add_GLUE_Experiment_logit_kd_pretrain_stsb
  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. -->

# mobilebert_add_GLUE_Experiment_logit_kd_pretrain_stsb

This model is a fine-tuned version of [gokuls/mobilebert_add_pre-training-complete](https://huggingface.co/gokuls/mobilebert_add_pre-training-complete) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Mse: nan

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- 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 | Mse |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.0           | 1.0   | 45   | nan             | nan |
| 0.0           | 2.0   | 90   | nan             | nan |
| 0.0           | 3.0   | 135  | nan             | nan |
| 0.0           | 4.0   | 180  | nan             | nan |
| 0.0           | 5.0   | 225  | nan             | nan |
| 0.0           | 6.0   | 270  | nan             | nan |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2