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bart-base-summarization-medical_on_cnn-48

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End of training

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  1. README.md +20 -10
  2. adapter_model.safetensors +1 -1
  3. runs/Jul26_19-12-18_eac2ae36916c/events.out.tfevents.1722021411.eac2ae36916c.3278.1 +2 -2
README.md CHANGED
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  base_model: facebook/bart-base
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  library_name: peft
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  license: apache-2.0
 
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -16,16 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 4.0426
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- - eval_rouge1: 0.1379
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- - eval_rouge2: 0.0404
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- - eval_rougeL: 0.114
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- - eval_rougeLsum: 0.1254
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- - eval_gen_len: 20.0
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- - eval_runtime: 273.4655
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- - eval_samples_per_second: 3.657
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- - eval_steps_per_second: 3.657
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- - step: 0
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  ## Model description
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  - num_epochs: 6
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.12.0
 
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  base_model: facebook/bart-base
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  library_name: peft
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  license: apache-2.0
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+ metrics:
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+ - rouge
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3893
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+ - Rouge1: 0.2525
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+ - Rouge2: 0.0944
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+ - Rougel: 0.2
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+ - Rougelsum: 0.2242
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+ - Gen Len: 18.451
 
 
 
 
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  ## Model description
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  - num_epochs: 6
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 2.6901 | 1.0 | 1250 | 3.3869 | 0.2516 | 0.0884 | 0.1964 | 0.2218 | 19.066 |
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+ | 2.6035 | 2.0 | 2500 | 3.3751 | 0.2516 | 0.0926 | 0.1975 | 0.2231 | 18.716 |
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+ | 2.564 | 3.0 | 3750 | 3.3818 | 0.2503 | 0.0926 | 0.1974 | 0.2221 | 18.501 |
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+ | 2.5265 | 4.0 | 5000 | 3.3882 | 0.2505 | 0.0927 | 0.1979 | 0.2219 | 18.482 |
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+ | 2.5207 | 5.0 | 6250 | 3.3881 | 0.2532 | 0.0946 | 0.2005 | 0.2247 | 18.394 |
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+ | 2.5356 | 6.0 | 7500 | 3.3893 | 0.2525 | 0.0944 | 0.2 | 0.2242 | 18.451 |
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+
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+
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  ### Framework versions
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  - PEFT 0.12.0
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