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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: hug-clip-bid |
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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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# hug-clip-bid |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8276 |
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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: 3e-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: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0263 | 0.15 | 100 | 1.3193 | |
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| 0.9187 | 0.29 | 200 | 1.0286 | |
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| 0.7005 | 0.44 | 300 | 0.9560 | |
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| 0.5851 | 0.58 | 400 | 0.9433 | |
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| 0.6122 | 0.73 | 500 | 0.8936 | |
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| 0.5916 | 0.88 | 600 | 0.8276 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.12.0 |
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- Datasets 2.3.2 |
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- Tokenizers 0.11.6 |
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