transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer base_model:maram00ali/CONVERTEDEmojiApp_Review_pretrained_T5_base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: maram00ali/CONVERTEDEmojiApp_Review_pretrained_T5_base
tags:
- generated_from_trainer
model-index:
- name: ConvertedEmojiT5-fintuned_AppReviews_32ep_32batch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ConvertedEmojiT5-fintuned_AppReviews_32ep_32batch

This model is a fine-tuned version of [maram00ali/CONVERTEDEmojiApp_Review_pretrained_T5_base](https://huggingface.co/maram00ali/CONVERTEDEmojiApp_Review_pretrained_T5_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0273

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.4502        | 1.0   | 25   | 6.3007          |
| 5.5964        | 2.0   | 50   | 5.4523          |
| 4.8087        | 3.0   | 75   | 4.8659          |
| 4.3828        | 4.0   | 100  | 4.6815          |
| 4.102         | 5.0   | 125  | 4.3381          |
| 3.8679        | 6.0   | 150  | 4.2251          |
| 3.6813        | 7.0   | 175  | 4.0646          |
| 3.5024        | 8.0   | 200  | 4.0713          |
| 3.3388        | 9.0   | 225  | 4.0704          |
| 3.2091        | 10.0  | 250  | 3.9759          |
| 3.0804        | 11.0  | 275  | 4.0273          |
| 2.9532        | 12.0  | 300  | 4.0427          |
| 2.847         | 13.0  | 325  | 4.0273          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
