End of training

README.md

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+---
+library_name: peft
+license: mit
+base_model: philschmid/bart-large-cnn-samsum
+tags:
+- generated_from_trainer
+model-index:
+- name: peft_bart_summarization
+  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. -->
+
+# peft_bart_summarization
+
+This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7236
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.168         | 1.0   | 151  | 5.8079          |
+| 2.7283        | 2.0   | 302  | 2.2799          |
+| 2.2075        | 3.0   | 453  | 1.8060          |
+| 2.1022        | 4.0   | 604  | 1.7236          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.51.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.0