---
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