metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: gokulsrinivasagan/tinybert_base_train_kd
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: tinybert_base_train_kd_wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE WNLI
type: glue
args: wnli
metrics:
- name: Accuracy
type: accuracy
value: 0.5633802816901409
tinybert_base_train_kd_wnli
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_kd on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6884
- Accuracy: 0.5634
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 |
|---|---|---|---|---|
| 0.8341 | 1.0 | 3 | 0.7071 | 0.4366 |
| 0.6963 | 2.0 | 6 | 0.6884 | 0.5634 |
| 0.6962 | 3.0 | 9 | 0.6948 | 0.5070 |
| 0.6958 | 4.0 | 12 | 0.7017 | 0.4366 |
| 0.6979 | 5.0 | 15 | 0.7054 | 0.4648 |
| 0.6946 | 6.0 | 18 | 0.7002 | 0.4648 |
| 0.696 | 7.0 | 21 | 0.7013 | 0.4648 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1