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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: rc_gale_control |
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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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# rc_gale_control |
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This model is a fine-tuned version of [rcgale/psst-apr-baseline](https://huggingface.co/rcgale/psst-apr-baseline) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6660 |
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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: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 22.794 | 3.33 | 50 | 3.7917 | |
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| 3.8262 | 6.67 | 100 | 3.6084 | |
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| 3.8023 | 10.0 | 150 | 3.6962 | |
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| 3.7283 | 13.33 | 200 | 3.6746 | |
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| 3.7173 | 16.67 | 250 | 3.6904 | |
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| 3.707 | 20.0 | 300 | 3.6909 | |
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| 3.7075 | 23.33 | 350 | 3.6785 | |
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| 3.6839 | 26.67 | 400 | 3.6769 | |
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| 3.7002 | 30.0 | 450 | 3.6660 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.2 |
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