|
---
|
|
library_name: transformers
|
|
license: apache-2.0
|
|
base_model: distilbert/distilbert-base-uncased
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- accuracy
|
|
model-index:
|
|
- name: distilbert-uncased-senti
|
|
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-uncased-senti
|
|
|
|
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.1285
|
|
- Accuracy: 0.9679
|
|
|
|
## 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: 16
|
|
- eval_batch_size: 16
|
|
- seed: 42
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: linear
|
|
- num_epochs: 2
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
|
| No log | 1.0 | 69 | 0.1238 | 0.9679 |
|
|
| No log | 2.0 | 138 | 0.1285 | 0.9679 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.44.2
|
|
- Pytorch 2.4.1+cpu
|
|
- Datasets 3.0.1
|
|
- Tokenizers 0.19.1
|
|
|
