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library_name: transformers
language:
- en
license: apache-2.0
base_model: gokulsrinivasagan/tinybert_base_train_kd
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: tinybert_base_train_kd_mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:
- name: Accuracy
type: accuracy
value: 0.7916666666666666
- name: F1
type: f1
value: 0.856175972927242
---
<!-- 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. -->
# tinybert_base_train_kd_mrpc
This model is a fine-tuned version of [gokulsrinivasagan/tinybert_base_train_kd](https://huggingface.co/gokulsrinivasagan/tinybert_base_train_kd) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5067
- Accuracy: 0.7917
- F1: 0.8562
- Combined Score: 0.8239
## 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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
| 0.6588 | 1.0 | 15 | 0.6283 | 0.6667 | 0.7655 | 0.7161 |
| 0.5998 | 2.0 | 30 | 0.5731 | 0.6961 | 0.8056 | 0.7509 |
| 0.5433 | 3.0 | 45 | 0.5614 | 0.7402 | 0.8333 | 0.7868 |
| 0.4574 | 4.0 | 60 | 0.5067 | 0.7917 | 0.8562 | 0.8239 |
| 0.3525 | 5.0 | 75 | 0.5204 | 0.7574 | 0.8203 | 0.7888 |
| 0.3015 | 6.0 | 90 | 0.8296 | 0.7426 | 0.8382 | 0.7904 |
| 0.2978 | 7.0 | 105 | 0.7863 | 0.75 | 0.8401 | 0.7951 |
| 0.2163 | 8.0 | 120 | 0.7096 | 0.7574 | 0.8308 | 0.7941 |
| 0.1329 | 9.0 | 135 | 0.7977 | 0.7549 | 0.8214 | 0.7882 |
### Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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