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_16batch
  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. -->

# ConvertedEmojiT5-fintuned_AppReviews_32ep_16batch

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: 3.9791

## 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: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.6857        | 1.0   | 50   | 5.6914          |
| 4.9072        | 2.0   | 100  | 4.8423          |
| 4.2961        | 3.0   | 150  | 4.4387          |
| 3.9418        | 4.0   | 200  | 4.1910          |
| 3.6765        | 5.0   | 250  | 4.0042          |
| 3.4515        | 6.0   | 300  | 3.9960          |
| 3.263         | 7.0   | 350  | 3.9411          |
| 3.0693        | 8.0   | 400  | 3.8980          |
| 2.8978        | 9.0   | 450  | 3.9415          |
| 2.7595        | 10.0  | 500  | 3.9412          |
| 2.6215        | 11.0  | 550  | 3.9791          |


### Framework versions

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