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---
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-ppaobj-20000-1e-06-8
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-large-ppaobj-20000-1e-06-8
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6881
## 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: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6977 | 1.0 | 625 | 0.6903 |
| 0.6943 | 2.0 | 1250 | 0.6896 |
| 0.693 | 3.0 | 1875 | 0.6861 |
| 0.6857 | 4.0 | 2500 | 0.6833 |
| 0.6788 | 5.0 | 3125 | 0.6809 |
| 0.6756 | 6.0 | 3750 | 0.6789 |
| 0.6709 | 7.0 | 4375 | 0.6797 |
| 0.6625 | 8.0 | 5000 | 0.6868 |
| 0.6579 | 9.0 | 5625 | 0.6881 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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