Instructions to use owenMills/bart-pas-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use owenMills/bart-pas-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("owenMills/bart-pas-model") model = PeftModel.from_pretrained(base_model, "owenMills/bart-pas-lora") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +13 -3
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- tokenizer.json +1 -1
- training_args.bin +2 -2
README.md
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- base_model:adapter:owenMills/bart-pas-model
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- lora
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- transformers
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model-index:
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- name: bart-pas-lora
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results: []
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# bart-pas-lora
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This model is a fine-tuned version of [owenMills/bart-pas-model](https://huggingface.co/owenMills/bart-pas-model) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs:
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.1
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### Training results
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### Framework versions
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- base_model:adapter:owenMills/bart-pas-model
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- lora
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- transformers
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metrics:
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- rouge
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model-index:
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- name: bart-pas-lora
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results: []
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# bart-pas-lora
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This model is a fine-tuned version of [owenMills/bart-pas-model](https://huggingface.co/owenMills/bart-pas-model) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6618
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- Rouge1: 46.92
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- Rouge2: 38.48
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- Rougel: 43.2
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- Rougelsum: 43.34
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## Model description
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 1
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 4.4614 | 1.0 | 13 | 2.6618 | 46.92 | 38.48 | 43.2 | 43.34 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"target_modules": [
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"k_proj",
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"out_proj"
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],
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"target_parameters": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"out_proj"
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"target_parameters": null,
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adapter_model.safetensors
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tokenizer.json
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length":
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"strategy": "LongestFirst",
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"stride": 0
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"version": "1.0",
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"direction": "Right",
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"strategy": "LongestFirst",
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"stride": 0
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training_args.bin
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size 5969
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