pytorch safetensors generated_from_trainer base_model:roberta-base license:mit region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: ghc-roberta-base-inter-sorted-model_annots
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ghc-roberta-base-inter-sorted-model_annots

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 51.7977

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 21.5116       | 1.0   | 345  | 50.5830         |
| 18.4644       | 2.0   | 690  | 50.9533         |
| 16.5572       | 3.0   | 1035 | 51.4882         |
| 19.8724       | 4.0   | 1380 | 51.7977         |
| 17.4379       | 5.0   | 1725 | 51.7977         |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
