|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bert_tiny_lda_5_v1_mrpc |
|
|
|
This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_5_v1](https://huggingface.co/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 |
|
|
