---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BLESSRelationTrain-2
  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. -->

# BLESSRelationTrain-2

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: 0.6932
- Accuracy: 0.5

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.8   | 100  | 0.6950          | 0.5      |
| No log        | 1.6   | 200  | 0.6936          | 0.5      |
| No log        | 2.4   | 300  | 0.6954          | 0.5      |
| No log        | 3.2   | 400  | 0.7268          | 0.5      |
| 0.699         | 4.0   | 500  | 0.6967          | 0.5      |
| 0.699         | 4.8   | 600  | 0.6940          | 0.5      |
| 0.699         | 5.6   | 700  | 0.6932          | 0.5      |
| 0.699         | 6.4   | 800  | 0.6943          | 0.5      |
| 0.699         | 7.2   | 900  | 0.6939          | 0.5      |
| 0.6965        | 8.0   | 1000 | 0.6932          | 0.5      |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1