---
license: apache-2.0
base_model: sshleifer/distilbart-xsum-12-3
tags:
- generated_from_trainer
model-index:
- name: sarcasm_BART_v2
  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. -->

# sarcasm_BART_v2

This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8877

## 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: 3
- eval_batch_size: 3
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 488  | 0.9496          |
| 1.559         | 2.0   | 976  | 0.9030          |
| 0.8131        | 3.0   | 1464 | 0.8735          |
| 0.6286        | 4.0   | 1952 | 0.8715          |
| 0.5382        | 5.0   | 2440 | 0.8877          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2