---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
datasets:
- snli
model-index:
- name: distilroberta-base-finetuned-imdb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilroberta-base-finetuned-imdb

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the snli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0457        | 1.0   | 157  | 0.0002          |
| 0.0004        | 2.0   | 314  | 0.0000          |
| 0.0002        | 3.0   | 471  | 0.0000          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1