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---
base_model: distilbert-base-uncased
library_name: transformers
license: apache-2.0
metrics:
- matthews_correlation
tags:
- generated_from_trainer
- trl
- sft
model-index:
- name: model_te
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. -->
# model_te
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0733
- Matthews Correlation: 0.5324
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.1729 | 1.0 | 535 | 0.6953 | 0.5007 |
| 0.1152 | 2.0 | 1070 | 0.9441 | 0.5200 |
| 0.0809 | 3.0 | 1605 | 0.9402 | 0.5150 |
| 0.1009 | 4.0 | 2140 | 1.0245 | 0.5297 |
| 0.0797 | 5.0 | 2675 | 1.0733 | 0.5324 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0
|