transformers safetensors t5 text2text-generation generated_from_trainer base_model:teoogherghi/model-proiect-nlp license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: teoogherghi/model-proiect-nlp
tags:
- generated_from_trainer
model-index:
- name: model-proiect-nlp
  results: []
---

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# model-proiect-nlp

This model is a fine-tuned version of [teoogherghi/model-proiect-nlp](https://huggingface.co/teoogherghi/model-proiect-nlp) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0232

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0324        | 0.49  | 500  | 0.0237          |
| 0.0306        | 0.97  | 1000 | 0.0232          |
| 0.0244        | 1.46  | 1500 | 0.0239          |
| 0.0232        | 1.95  | 2000 | 0.0235          |
| 0.0196        | 2.44  | 2500 | 0.0235          |
| 0.018         | 2.92  | 3000 | 0.0237          |
| 0.0153        | 3.41  | 3500 | 0.0248          |
| 0.015         | 3.9   | 4000 | 0.0245          |
| 0.0128        | 4.39  | 4500 | 0.0254          |
| 0.0125        | 4.87  | 5000 | 0.0253          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
