metadata
library_name: transformers
language:
- en
base_model: gokulsrinivasagan/distilbert_lda_50_v1
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert_lda_50_v1_mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: glue
args: mnli
metrics:
- name: Accuracy
type: accuracy
value: 0.7355573637103336
distilbert_lda_50_v1_mnli
This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_50_v1 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6377
- Accuracy: 0.7356
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 |
|---|---|---|---|---|
| 0.8292 | 1.0 | 1534 | 0.7243 | 0.6906 |
| 0.6692 | 2.0 | 3068 | 0.6628 | 0.7185 |
| 0.5756 | 3.0 | 4602 | 0.6567 | 0.7336 |
| 0.4939 | 4.0 | 6136 | 0.6776 | 0.7320 |
| 0.414 | 5.0 | 7670 | 0.6913 | 0.7373 |
| 0.3422 | 6.0 | 9204 | 0.7809 | 0.7314 |
| 0.2807 | 7.0 | 10738 | 0.8294 | 0.7350 |
| 0.2292 | 8.0 | 12272 | 0.9725 | 0.7280 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3