metadata
library_name: transformers
base_model: gokulsrinivasagan/bert_tiny_lda_5_v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert_tiny_lda_5_v1_mrpc
results: []
bert_tiny_lda_5_v1_mrpc
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_5_v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6257
- Accuracy: 0.6838
- F1: 0.8122
- Combined Score: 0.7480
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: 0.001
- 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 |
|---|---|---|---|---|---|---|
| 0.7698 | 1.0 | 15 | 0.6248 | 0.6838 | 0.8122 | 0.7480 |
| 0.6393 | 2.0 | 30 | 0.6289 | 0.6838 | 0.8122 | 0.7480 |
| 0.6303 | 3.0 | 45 | 0.6289 | 0.6838 | 0.8122 | 0.7480 |
| 0.6358 | 4.0 | 60 | 0.6250 | 0.6838 | 0.8122 | 0.7480 |
| 0.6315 | 5.0 | 75 | 0.6246 | 0.6838 | 0.8122 | 0.7480 |
| 0.6341 | 6.0 | 90 | 0.6247 | 0.6838 | 0.8122 | 0.7480 |
| 0.6305 | 7.0 | 105 | 0.6256 | 0.6838 | 0.8122 | 0.7480 |
| 0.6333 | 8.0 | 120 | 0.6240 | 0.6838 | 0.8122 | 0.7480 |
| 0.6276 | 9.0 | 135 | 0.6283 | 0.6838 | 0.8122 | 0.7480 |
| 0.6359 | 10.0 | 150 | 0.6273 | 0.6838 | 0.8122 | 0.7480 |
| 0.6349 | 11.0 | 165 | 0.6254 | 0.6838 | 0.8122 | 0.7480 |
| 0.6336 | 12.0 | 180 | 0.6243 | 0.6838 | 0.8122 | 0.7480 |
| 0.6305 | 13.0 | 195 | 0.6257 | 0.6838 | 0.8122 | 0.7480 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3