small-mlm-glue-mnli / README.md
muhtasham's picture
update model card README.md
ee2eed0
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: small-mlm-glue-mnli
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. -->
# small-mlm-glue-mnli
This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8314
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0194 | 0.4 | 500 | 2.7922 |
| 3.0037 | 0.8 | 1000 | 2.8022 |
| 2.9388 | 1.2 | 1500 | 2.7826 |
| 2.915 | 1.6 | 2000 | 2.7838 |
| 2.8626 | 2.0 | 2500 | 2.7769 |
| 2.7908 | 2.4 | 3000 | 2.7829 |
| 2.789 | 2.8 | 3500 | 2.7933 |
| 2.7784 | 3.2 | 4000 | 2.8314 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2