pytorch generated_from_trainer base_model:roberta-base license:mit region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SChem5Labels-roberta-base-intra-frequency-human_annots
  results: []
---

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# SChem5Labels-roberta-base-intra-frequency-human_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: 75.9373
- F1: 0.2480

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 278.0245      | 1.0   | 2    | 77.0931         | 0.2480 |
| 276.0301      | 2.0   | 4    | 76.9413         | 0.2480 |
| 282.4778      | 3.0   | 6    | 76.6891         | 0.2480 |
| 287.1806      | 4.0   | 8    | 76.3526         | 0.2480 |
| 262.1952      | 5.0   | 10   | 75.9373         | 0.2480 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
