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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: RADME_fine_f3 |
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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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# RADME_fine_f3 |
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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: 0.3192 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 3 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3469 | 0.95 | 5000 | 0.3094 | |
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| 0.3102 | 1.91 | 10000 | 0.2894 | |
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| 0.2806 | 2.86 | 15000 | 0.2793 | |
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| 0.2604 | 3.81 | 20000 | 0.2748 | |
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| 0.2414 | 4.77 | 25000 | 0.2756 | |
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| 0.228 | 5.72 | 30000 | 0.2784 | |
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| 0.2139 | 6.67 | 35000 | 0.2815 | |
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| 0.2016 | 7.63 | 40000 | 0.2848 | |
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| 0.1924 | 8.58 | 45000 | 0.2917 | |
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| 0.1802 | 9.53 | 50000 | 0.2954 | |
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| 0.172 | 10.49 | 55000 | 0.3022 | |
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| 0.1646 | 11.44 | 60000 | 0.3085 | |
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| 0.1586 | 12.4 | 65000 | 0.3114 | |
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| 0.1553 | 13.35 | 70000 | 0.3154 | |
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| 0.1509 | 14.3 | 75000 | 0.3192 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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