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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__sst2__train-8-0
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. -->
# distilbert-base-uncased__sst2__train-8-0
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6527
- Accuracy: 0.6150
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7204 | 1.0 | 4 | 0.6917 | 0.5074 |
| 0.6649 | 2.0 | 8 | 0.6879 | 0.6118 |
| 0.6472 | 3.0 | 12 | 0.6838 | 0.6035 |
| 0.6176 | 4.0 | 16 | 0.6774 | 0.6299 |
| 0.5697 | 5.0 | 20 | 0.6697 | 0.6326 |
| 0.508 | 6.0 | 24 | 0.6615 | 0.6310 |
| 0.4138 | 7.0 | 28 | 0.6553 | 0.6222 |
| 0.345 | 8.0 | 32 | 0.6527 | 0.6150 |
| 0.2653 | 9.0 | 36 | 0.6583 | 0.6200 |
| 0.2017 | 10.0 | 40 | 0.6712 | 0.6145 |
| 0.1492 | 11.0 | 44 | 0.6842 | 0.6145 |
### Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3
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