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--- |
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base_model: Samuael/geez_t5-15k |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: geez_t5-15k |
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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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# geez_t5-15k |
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This model is a fine-tuned version of [Samuael/geez_t5-15k](https://huggingface.co/Samuael/geez_t5-15k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.8705 |
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- eval_wer: 0.2496 |
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- eval_cer: 0.0611 |
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- eval_bleu: 58.7703 |
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- eval_runtime: 36.6498 |
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- eval_samples_per_second: 9.795 |
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- eval_steps_per_second: 0.164 |
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- epoch: 1.0 |
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- step: 1421 |
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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: 0.0001 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 50 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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