Model save
Browse files- README.md +69 -0
- generation_config.json +15 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: sshleifer/distilbart-xsum-6-6
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbart-summarization-base
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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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# distilbart-summarization-base
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This model is a fine-tuned version of [sshleifer/distilbart-xsum-6-6](https://huggingface.co/sshleifer/distilbart-xsum-6-6) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2566
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
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No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2.0
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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 |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.699 | 0.1882 | 500 | 2.5648 |
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| 2.5321 | 0.3764 | 1000 | 2.4413 |
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| 2.4701 | 0.5645 | 1500 | 2.3791 |
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| 2.4213 | 0.7527 | 2000 | 2.3353 |
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| 2.404 | 0.9409 | 2500 | 2.3089 |
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| 2.3352 | 1.1291 | 3000 | 2.2903 |
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| 2.2998 | 1.3173 | 3500 | 2.2765 |
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| 2.2999 | 1.5055 | 4000 | 2.2673 |
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| 2.2665 | 1.6936 | 4500 | 2.2611 |
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| 2.3412 | 1.8818 | 5000 | 2.2566 |
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### Framework versions
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- Transformers 4.48.2
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- Pytorch 2.5.1+cu124
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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": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"length_penalty": 0.5,
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"max_length": 62,
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"min_length": 11,
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"no_repeat_ngram_size": 3,
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"num_beams": 6,
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"pad_token_id": 1,
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"transformers_version": "4.48.2"
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}
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