End of training
Browse files- README.md +67 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: mit
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base_model: facebook/bart-large-cnn
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tags:
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- generated_from_trainer
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model-index:
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- name: BART-SUMMARIZATION-4
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# BART-SUMMARIZATION-4
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3891
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4958 | 0.1470 | 250 | 1.4006 |
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| 1.4858 | 0.2940 | 500 | 1.4021 |
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| 1.4799 | 0.4410 | 750 | 1.4016 |
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| 1.4775 | 0.5881 | 1000 | 1.3970 |
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| 1.4929 | 0.7351 | 1250 | 1.3944 |
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| 1.4906 | 0.8821 | 1500 | 1.3891 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 18915448
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version https://git-lfs.github.com/spec/v1
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size 18915448
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