|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- glue |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: distilbert_sa_GLUE_Experiment_logit_kd_mnli_96 |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: GLUE MNLI |
|
type: glue |
|
config: mnli |
|
split: validation_matched |
|
args: mnli |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.5431244914564687 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# distilbert_sa_GLUE_Experiment_logit_kd_mnli_96 |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE MNLI dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5438 |
|
- Accuracy: 0.5431 |
|
|
|
## 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 |
|
- distributed_type: multi-GPU |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 50 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.6023 | 1.0 | 1534 | 0.5718 | 0.4960 | |
|
| 0.5673 | 2.0 | 3068 | 0.5547 | 0.5184 | |
|
| 0.5555 | 3.0 | 4602 | 0.5505 | 0.5278 | |
|
| 0.5481 | 4.0 | 6136 | 0.5466 | 0.5381 | |
|
| 0.5426 | 5.0 | 7670 | 0.5454 | 0.5403 | |
|
| 0.5382 | 6.0 | 9204 | 0.5454 | 0.5354 | |
|
| 0.5341 | 7.0 | 10738 | 0.5452 | 0.5344 | |
|
| 0.5308 | 8.0 | 12272 | 0.5428 | 0.5410 | |
|
| 0.5271 | 9.0 | 13806 | 0.5460 | 0.5451 | |
|
| 0.5239 | 10.0 | 15340 | 0.5450 | 0.5462 | |
|
| 0.5209 | 11.0 | 16874 | 0.5447 | 0.5449 | |
|
| 0.5179 | 12.0 | 18408 | 0.5452 | 0.5475 | |
|
| 0.5152 | 13.0 | 19942 | 0.5495 | 0.5454 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- Pytorch 1.14.0a0+410ce96 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.13.2 |
|
|
