End of training
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README.md
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---
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library_name: transformers
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license: mit
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base_model: nsi319/legal-pegasus
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tags:
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- generated_from_trainer
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model-index:
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- name: bodoLegalPegasus
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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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# bodoLegalPegasus
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This model is a fine-tuned version of [nsi319/legal-pegasus](https://huggingface.co/nsi319/legal-pegasus) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.0686
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Use adamw_torch 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_steps: 500
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 7.1275 | 1.0 | 313 | 6.7318 |
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| 6.6292 | 2.0 | 626 | 6.0519 |
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| 6.1327 | 3.0 | 939 | 5.3996 |
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| 5.6257 | 3.9896 | 1248 | 5.0686 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.0.1+cu117
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"length_penalty": 0.8,
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"max_length": 128,
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"min_length": 32,
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"num_beams": 8,
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"pad_token_id": 0,
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"transformers_version": "4.48.3"
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}
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runs/Feb25_23-54-18_gitspot/events.out.tfevents.1740507859.gitspot.2457660.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 33240
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