yohannesa2sv
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README.md
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---
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: mt5-small-amharic-text-summaization
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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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# mt5-small-amharic-text-summaization
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.9166
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- eval_rouge1: 17.2202
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- eval_rouge2: 9.6515
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- eval_rougeL: 16.8757
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- eval_rougeLsum: 16.8802
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- eval_runtime: 191.4842
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- eval_samples_per_second: 14.043
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- eval_steps_per_second: 1.76
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- epoch: 10.0
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- step: 13450
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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: 5.6e-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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- num_epochs: 12
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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runs/Jan10_12-05-21_a74632493d26/events.out.tfevents.1704888335.a74632493d26.2127.1
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