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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: cu-go-bart-large-gc |
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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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# cu-go-bart-large-gc |
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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: 1.3380 |
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- Rouge1: 56.6424 |
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- Rouge2: 31.6294 |
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- Rougel: 38.8938 |
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- Rougelsum: 51.9078 |
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- Gen Len: 119.4535 |
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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: 5e-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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- 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: 3.0 |
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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 | 1.0 | 86 | 1.3532 | 54.8564 | 29.5263 | 36.6465 | 50.2558 | 116.6512 | |
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| No log | 2.0 | 172 | 1.3118 | 56.6239 | 31.6121 | 39.2945 | 51.7651 | 117.9419 | |
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| No log | 3.0 | 258 | 1.3380 | 56.6424 | 31.6294 | 38.8938 | 51.9078 | 119.4535 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.14.1 |
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