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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
config: rte
split: validation
args: rte
metrics:
- name: Accuracy
type: accuracy
value: 0.5451263537906137
---
<!-- 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_sa_GLUE_Experiment_logit_kd_pretrain_rte
This model is a fine-tuned version of [gokuls/mobilebert_sa_pre-training-complete](https://huggingface.co/gokuls/mobilebert_sa_pre-training-complete) on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3884
- Accuracy: 0.5451
## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4107 | 1.0 | 20 | 0.3951 | 0.5126 |
| 0.3757 | 2.0 | 40 | 0.3914 | 0.4982 |
| 0.347 | 3.0 | 60 | 0.3884 | 0.5451 |
| 0.3072 | 4.0 | 80 | 0.4022 | 0.5126 |
| 0.2762 | 5.0 | 100 | 0.4116 | 0.5271 |
| 0.2457 | 6.0 | 120 | 0.4073 | 0.5271 |
| 0.2215 | 7.0 | 140 | 0.4115 | 0.5487 |
| 0.2059 | 8.0 | 160 | 0.4231 | 0.5343 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
|