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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: facebook/bart-large
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metrics:
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- rouge
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model-index:
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- name: bart-large-oposum2
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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-large-oposum2
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2051
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- Rouge1: 0.6185
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- Rouge2: 0.6021
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- Rougel: 0.6157
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- Rougelsum: 0.6157
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- Gen Len: 18.932
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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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 0.9984 | 156 | 3.5332 | 0.5855 | 0.5682 | 0.5823 | 0.5824 | 22.576 |
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| No log | 1.9968 | 312 | 3.2461 | 0.6109 | 0.5946 | 0.6084 | 0.6083 | 19.284 |
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| No log | 2.9952 | 468 | 3.2051 | 0.6185 | 0.6021 | 0.6157 | 0.6157 | 18.932 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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