---
license: apache-2.0
base_model: moussaKam/barthez-orangesum-abstract
tags:
- generated_from_trainer
model-index:
- name: sarcasm_BARThez_v3
  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_BARThez_v3

This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5479

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4699        | 1.0   | 732  | 0.5757          |
| 0.6393        | 2.0   | 1464 | 0.5460          |
| 0.455         | 3.0   | 2196 | 0.5150          |
| 0.3906        | 4.0   | 2928 | 0.5079          |
| 0.3015        | 5.0   | 3660 | 0.5104          |
| 0.27          | 6.0   | 4392 | 0.5223          |
| 0.2124        | 7.0   | 5124 | 0.5343          |
| 0.2049        | 8.0   | 5856 | 0.5390          |
| 0.1656        | 9.0   | 6588 | 0.5433          |
| 0.1688        | 10.0  | 7320 | 0.5479          |


### Framework versions

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