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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ml_gen_seo_google_23_05_2024 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ml_gen_seo_google_23_05_2024 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7733 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9707 | 0.1534 | 25 | 0.7829 | |
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| 0.942 | 0.3067 | 50 | 0.7871 | |
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| 0.8262 | 0.4601 | 75 | 0.7827 | |
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| 0.9281 | 0.6135 | 100 | 0.7894 | |
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| 0.9142 | 0.7669 | 125 | 0.7706 | |
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| 0.8757 | 0.9202 | 150 | 0.7701 | |
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| 0.8237 | 1.0736 | 175 | 0.7883 | |
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| 0.8219 | 1.2270 | 200 | 0.7684 | |
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| 0.8051 | 1.3804 | 225 | 0.7779 | |
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| 0.7711 | 1.5337 | 250 | 0.7831 | |
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| 0.8685 | 1.6871 | 275 | 0.7721 | |
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| 0.7802 | 1.8405 | 300 | 0.7804 | |
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| 0.778 | 1.9939 | 325 | 0.7812 | |
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| 0.7685 | 2.1472 | 350 | 0.7782 | |
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| 0.8233 | 2.3006 | 375 | 0.7678 | |
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| 0.7752 | 2.4540 | 400 | 0.7717 | |
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| 0.7144 | 2.6074 | 425 | 0.7722 | |
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| 0.7322 | 2.7607 | 450 | 0.7719 | |
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| 0.6849 | 2.9141 | 475 | 0.7733 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Tokenizers 0.19.1 |
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