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# Fine-tuning-CovertedEmojiApp_Review_pretrained_BART_base32-batch

This model is a fine-tuned version of [maram00ali/CovertedEmojiApp_Review_pretrained_BART_base](https://huggingface.co/maram00ali/CovertedEmojiApp_Review_pretrained_BART_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3247

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1245        | 1.0   | 25   | 2.9773          |
| 2.8798        | 2.0   | 50   | 2.6387          |
| 2.4233        | 3.0   | 75   | 2.4141          |
| 2.1345        | 4.0   | 100  | 2.3165          |
| 1.9591        | 5.0   | 125  | 2.3029          |
| 1.787         | 6.0   | 150  | 2.3628          |
| 1.6514        | 7.0   | 175  | 2.3005          |
| 1.5327        | 8.0   | 200  | 2.3247          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "maram00ali/CovertedEmojiApp_Review_pretrained_BART_base", "model-index": [{"name": "Fine-tuning-CovertedEmojiApp_Review_pretrained_BART_base32-batch", "results": []}]}
transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:maram00ali/CovertedEmojiApp_Review_pretrained_BART_base license:apache-2.0 autotrain_compatible endpoints_compatible region:us