---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-DoniaTrials514true
  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. -->

# distilroberta-base-DoniaTrials514true

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9900

## 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: 2e-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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 39   | 7.7927          |
| No log        | 2.0   | 78   | 6.4068          |
| No log        | 3.0   | 117  | 5.4281          |
| No log        | 4.0   | 156  | 4.6950          |
| No log        | 5.0   | 195  | 4.1459          |
| No log        | 6.0   | 234  | 3.7803          |
| No log        | 7.0   | 273  | 3.5540          |
| No log        | 8.0   | 312  | 3.4146          |
| No log        | 9.0   | 351  | 3.3216          |
| No log        | 10.0  | 390  | 3.2530          |
| No log        | 11.0  | 429  | 3.2030          |
| No log        | 12.0  | 468  | 3.1618          |
| 4.5845        | 13.0  | 507  | 3.1307          |
| 4.5845        | 14.0  | 546  | 3.1048          |
| 4.5845        | 15.0  | 585  | 3.0834          |
| 4.5845        | 16.0  | 624  | 3.0618          |
| 4.5845        | 17.0  | 663  | 3.0470          |
| 4.5845        | 18.0  | 702  | 3.0323          |
| 4.5845        | 19.0  | 741  | 3.0210          |
| 4.5845        | 20.0  | 780  | 3.0107          |
| 4.5845        | 21.0  | 819  | 3.0034          |
| 4.5845        | 22.0  | 858  | 2.9979          |
| 4.5845        | 23.0  | 897  | 2.9934          |
| 4.5845        | 24.0  | 936  | 2.9908          |
| 4.5845        | 25.0  | 975  | 2.9900          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2