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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+bart-base-finetuned-xsum - bnb 4bits
+- Model creator: https://huggingface.co/Vexemous/
+- Original model: https://huggingface.co/Vexemous/bart-base-finetuned-xsum/
+
+
+
+
+Original model description:
+---
+license: apache-2.0
+base_model: facebook/bart-base
+tags:
+- generated_from_trainer
+datasets:
+- xsum
+metrics:
+- rouge
+model-index:
+- name: bart-base-finetuned-xsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: train[:10%]
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 35.8214
+pipeline_tag: summarization
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bart-base-finetuned-xsum
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9356
+- Rouge1: 35.8214
+- Rouge2: 14.7565
+- Rougel: 29.4566
+- Rougelsum: 29.4496
+- Gen Len: 19.562
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.301         | 1.0   | 1148 | 1.9684          | 34.4715 | 13.6638 | 28.1147 | 28.1204   | 19.5816 |
+| 2.1197        | 2.0   | 2296 | 1.9442          | 35.2502 | 14.284  | 28.8462 | 28.8384   | 19.5546 |
+| 1.9804        | 3.0   | 3444 | 1.9406          | 35.7799 | 14.7422 | 29.3669 | 29.3742   | 19.5326 |
+| 1.8891        | 4.0   | 4592 | 1.9349          | 35.5151 | 14.4668 | 29.0359 | 29.0484   | 19.5492 |
+| 1.827         | 5.0   | 5740 | 1.9356          | 35.8214 | 14.7565 | 29.4566 | 29.4496   | 19.562  |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.19.0
+- Tokenizers 0.19.1
+