---
tags:
- generated_from_trainer
model-index:
- name: ml_gen_seo_google_23_05_2024
  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. -->

# ml_gen_seo_google_23_05_2024

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7733

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9707        | 0.1534 | 25   | 0.7829          |
| 0.942         | 0.3067 | 50   | 0.7871          |
| 0.8262        | 0.4601 | 75   | 0.7827          |
| 0.9281        | 0.6135 | 100  | 0.7894          |
| 0.9142        | 0.7669 | 125  | 0.7706          |
| 0.8757        | 0.9202 | 150  | 0.7701          |
| 0.8237        | 1.0736 | 175  | 0.7883          |
| 0.8219        | 1.2270 | 200  | 0.7684          |
| 0.8051        | 1.3804 | 225  | 0.7779          |
| 0.7711        | 1.5337 | 250  | 0.7831          |
| 0.8685        | 1.6871 | 275  | 0.7721          |
| 0.7802        | 1.8405 | 300  | 0.7804          |
| 0.778         | 1.9939 | 325  | 0.7812          |
| 0.7685        | 2.1472 | 350  | 0.7782          |
| 0.8233        | 2.3006 | 375  | 0.7678          |
| 0.7752        | 2.4540 | 400  | 0.7717          |
| 0.7144        | 2.6074 | 425  | 0.7722          |
| 0.7322        | 2.7607 | 450  | 0.7719          |
| 0.6849        | 2.9141 | 475  | 0.7733          |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1