Training complete
Browse files
README.md
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---
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base_model: october-sd/pegasus-xsum-finetuned-en-sum
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: pegasus-latest-finetuned
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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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# pegasus-latest-finetuned
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This model is a fine-tuned version of [october-sd/pegasus-xsum-finetuned-en-sum](https://huggingface.co/october-sd/pegasus-xsum-finetuned-en-sum) on an unknown dataset.
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.97 | 16 | 1.4365 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.15.0
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- Tokenizers 0.15.2
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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": 0.6,
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"max_length": 64,
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"num_beams": 8,
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"pad_token_id": 0,
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"transformers_version": "4.38.1"
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}
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runs/Apr02_18-32-53_49b9a0ca3c15/events.out.tfevents.1712082775.49b9a0ca3c15.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 6173
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