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zbigi
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bart-base-summarization-medical_on_cnn-50

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  1. README.md +3 -3
  2. runs/Jul27_13-00-38_a4a9f51694ca/events.out.tfevents.1722085522.a4a9f51694ca.219.0 +3 -0
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,9 +22,9 @@ It achieves the following results on the evaluation set:
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  - eval_rougeL: 0.114
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  - eval_rougeLsum: 0.1255
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  - eval_gen_len: 20.0
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- - eval_runtime: 270.9696
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- - eval_samples_per_second: 3.69
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- - eval_steps_per_second: 3.69
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  - step: 0
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  ## Model description
 
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  - eval_rougeL: 0.114
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  - eval_rougeLsum: 0.1255
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  - eval_gen_len: 20.0
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+ - eval_runtime: 283.6448
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+ - eval_samples_per_second: 3.526
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+ - eval_steps_per_second: 3.526
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  - step: 0
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  ## Model description
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