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--- |
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base_model: toobiza/MT-smart-feather-100 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MT-zany-pond-109 |
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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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# MT-zany-pond-109 |
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This model is a fine-tuned version of [toobiza/MT-smart-feather-100](https://huggingface.co/toobiza/MT-smart-feather-100) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.2338 |
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- eval_loss_ce: 0.0008 |
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- eval_loss_bbox: 0.0278 |
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- eval_cardinality_error: 1.0 |
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- eval_giou: 95.3678 |
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- eval_runtime: 49.5262 |
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- eval_samples_per_second: 2.241 |
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- eval_steps_per_second: 0.565 |
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- epoch: 0.09 |
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- step: 40 |
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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: 1e-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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.13.3 |
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