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---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_1e-5
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. -->
# fine_tuned_1e-5
This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0348 | 0.25 | 100 | 0.0000 | 1.0 |
| 0.0188 | 0.5 | 200 | 0.0000 | 1.0 |
| 0.0044 | 0.75 | 300 | 0.0000 | 1.0 |
| 0.0105 | 1.01 | 400 | 0.0000 | 1.0 |
| 0.0 | 1.26 | 500 | 0.0000 | 1.0 |
| 0.0 | 1.51 | 600 | 0.0000 | 1.0 |
| 0.0 | 1.76 | 700 | 0.0000 | 1.0 |
| 0.0 | 2.01 | 800 | 0.0000 | 1.0 |
| 0.0 | 2.26 | 900 | 0.0000 | 1.0 |
| 0.0 | 2.51 | 1000 | 0.0000 | 1.0 |
| 0.0 | 2.76 | 1100 | 0.0000 | 1.0 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0
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