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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-academic
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. -->
# roberta-base-academic
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0248
## 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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1562 | 0.75 | 330 | 2.0722 |
| 2.12 | 1.5 | 660 | 2.0430 |
| 2.1085 | 2.25 | 990 | 2.0428 |
| 2.0979 | 3.0 | 1320 | 2.0305 |
| 2.0859 | 3.75 | 1650 | 1.9995 |
| 2.0889 | 4.5 | 1980 | 2.0074 |
### Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.12.1
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