metadata
tags:
- generated_from_trainer
model-index:
- name: ml_gen_seo_google_23_05_2024
results: []
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