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---
metrics:
- accuracy
model-index:
- name: c4-aristo-roberta-large
---
<!-- 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. -->
# c4-aristo-roberta-large
This model was trained from scratch on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0332
- Accuracy: 0.7370
## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8204 | 1.0 | 140 | 0.7246 | 0.7171 |
| 0.5512 | 2.0 | 280 | 0.7441 | 0.7312 |
| 0.3437 | 3.0 | 420 | 0.8940 | 0.7363 |
| 0.291 | 4.0 | 560 | 1.0332 | 0.7370 |
### Framework versions
- Transformers 4.6.1
- Pytorch 1.10.0.dev20210620+cu113
- Datasets 1.6.2
- Tokenizers 0.10.2
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