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.ipynb_checkpoints/README-checkpoint.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+model-index:
+- name: bart-cnn-samsum-finetuned
+  results: []
+---
+
+<!-- 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-cnn-samsum-finetuned
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1363
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0695        | 1.0   | 19   | 0.1325          |
+| 0.0554        | 2.0   | 38   | 0.1353          |
+| 0.0435        | 3.0   | 57   | 0.1363          |
+
+
+### Framework versions
+
+- Transformers 4.44.1
+- Pytorch 2.0.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1