yohannesa2sv
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README.md
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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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@@ -11,18 +13,18 @@ should probably proofread and complete it, then remove this comment. -->
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# amharic_text_summarization
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This model
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It achieves the following results on the evaluation set:
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- eval_loss:
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- eval_rouge1:
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- eval_rouge2:
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- eval_rougeL:
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- eval_rougeLsum:
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- eval_runtime:
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- eval_samples_per_second:
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- eval_steps_per_second:
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- epoch:
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- step:
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## Model description
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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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model-index:
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# amharic_text_summarization
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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: 1.8623
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- eval_rouge1: 18.0038
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- eval_rouge2: 10.1584
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- eval_rougeL: 17.7176
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- eval_rougeLsum: 17.7042
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- eval_runtime: 363.1536
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- eval_samples_per_second: 14.245
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- eval_steps_per_second: 1.782
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- epoch: 7.0
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- step: 18151
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## Model description
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 1200729512
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