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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: google/flan-t5-large |
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metrics: |
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- rouge |
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model-index: |
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- name: absa_10_domains_large |
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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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# absa_10_domains_large |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Rouge1: 0.0 |
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- Rouge2: 0.0 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | |
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|:---------------------------------------:|:------:|:----:|:---------------:|:------:|:------:| |
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| 9447968943581024006218927935848448.0000 | 0.9981 | 300 | nan | 0.0 | 0.0 | |
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| 0.0 | 1.9996 | 601 | nan | 0.0 | 0.0 | |
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| 0.0 | 2.9977 | 901 | nan | 0.0 | 0.0 | |
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| 0.0 | 3.9992 | 1202 | nan | 0.0 | 0.0 | |
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| 0.0 | 4.9973 | 1502 | nan | 0.0 | 0.0 | |
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| 0.0 | 5.9988 | 1803 | nan | 0.0 | 0.0 | |
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| 0.0 | 6.9969 | 2103 | nan | 0.0 | 0.0 | |
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| 0.0 | 7.9983 | 2404 | nan | 0.0 | 0.0 | |
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| 0.0 | 8.9998 | 2705 | nan | 0.0 | 0.0 | |
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| 0.0 | 9.9813 | 3000 | nan | 0.0 | 0.0 | |
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### Framework versions |
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- PEFT 0.11.1 |
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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 |
