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--- |
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license: apache-2.0 |
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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: bart-base-code-instructiongen |
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results: [] |
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inference: |
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parameters: |
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max_length: 128 |
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num_beams: 4 |
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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-base-code-instructiongen |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the `pszemraj/fleece2instructions-codealpaca` dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0136 |
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- Rouge1: 59.9513 |
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- Rouge2: 33.9118 |
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- Rougel: 55.7815 |
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- Rougelsum: 56.9064 |
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- Gen Len: 29.7146 |
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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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Refer to `pszemraj/fleece2instructions-codealpaca` |
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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: 8e-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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- distributed_type: multi-GPU |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.02 |
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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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| 1.1165 | 1.0 | 281 | 1.1090 | 57.9239 | 31.9259 | 53.8737 | 54.9811 | 28.2924 | |
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| 1.0763 | 2.0 | 563 | 1.0267 | 59.9605 | 34.0298 | 55.7523 | 56.8021 | 29.6966 | |
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| 0.9595 | 2.99 | 843 | 1.0136 | 59.9513 | 33.9118 | 55.7815 | 56.9064 | 29.7146 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0.dev20230212+cu118 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
