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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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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: amtibot_bart |
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results: [] |
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library_name: peft |
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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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# amtibot_bart |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5905 |
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- Rouge1: 0.4051 |
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- Rouge2: 0.195 |
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- Rougel: 0.3054 |
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- Rougelsum: 0.3053 |
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- Gen Len: 65.7532 |
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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: 0.02 |
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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: 8 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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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 | 0.9351 | 9 | 1.6594 | 0.4057 | 0.1833 | 0.3052 | 0.3048 | 67.9481 | |
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| 2.11 | 1.9740 | 19 | 1.6149 | 0.3938 | 0.192 | 0.3063 | 0.3058 | 64.8571 | |
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| 1.554 | 2.9091 | 28 | 1.5842 | 0.3956 | 0.1872 | 0.3039 | 0.3033 | 65.8182 | |
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| 1.3821 | 3.7403 | 36 | 1.5905 | 0.4051 | 0.195 | 0.3054 | 0.3053 | 65.7532 | |
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### Framework versions |
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- PEFT 0.4.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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