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---
language:
- en
base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: hBERTv1_new_pretrain_w_init_48_ver2_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: glue
config: mnli
split: validation_matched
args: mnli
metrics:
- name: Accuracy
type: accuracy
value: 0.459519934906428
---
<!-- 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. -->
# hBERTv1_new_pretrain_w_init_48_ver2_mnli
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the GLUE MNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0270
- Accuracy: 0.4595
## 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: 4e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0624 | 1.0 | 6136 | 1.0715 | 0.3840 |
| 1.0497 | 2.0 | 12272 | 1.0548 | 0.4072 |
| 1.0421 | 3.0 | 18408 | 1.0476 | 0.4432 |
| 1.0485 | 4.0 | 24544 | 1.0547 | 0.4414 |
| 1.0473 | 5.0 | 30680 | 1.0516 | 0.4553 |
| 1.0498 | 6.0 | 36816 | 1.0556 | 0.4427 |
| 1.0531 | 7.0 | 42952 | 1.0556 | 0.4381 |
| 1.0609 | 8.0 | 49088 | 1.0687 | 0.4028 |
### Framework versions
- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.1
|