Training complete
Browse files
README.md
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---
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base_model: silmi224/finetune-led-35000
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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: led-risalah_data_v11
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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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# led-risalah_data_v11
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This model is a fine-tuned version of [silmi224/finetune-led-35000](https://huggingface.co/silmi224/finetune-led-35000) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6843
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- Rouge1 Precision: 0.7035
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- Rouge1 Recall: 0.1205
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- Rouge1 Fmeasure: 0.2038
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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: 8
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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 Precision | Rouge1 Recall | Rouge1 Fmeasure |
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|:-------------:|:------:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 2.6071 | 0.9714 | 17 | 1.8938 | 0.6021 | 0.1074 | 0.1803 |
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| 1.745 | 2.0 | 35 | 1.7661 | 0.7095 | 0.1174 | 0.1994 |
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| 1.5717 | 2.9714 | 52 | 1.7251 | 0.6704 | 0.1176 | 0.1968 |
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| 1.4921 | 4.0 | 70 | 1.6772 | 0.7014 | 0.1175 | 0.1986 |
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| 1.3932 | 4.9714 | 87 | 1.6745 | 0.7008 | 0.1187 | 0.2011 |
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| 1.3002 | 6.0 | 105 | 1.6869 | 0.6913 | 0.1196 | 0.2012 |
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| 1.2784 | 6.9714 | 122 | 1.6857 | 0.7114 | 0.1246 | 0.2097 |
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| 1.1779 | 7.7714 | 136 | 1.6843 | 0.7035 | 0.1205 | 0.2038 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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generation_config.json
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{
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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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"length_penalty": 2.0,
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"max_length": 128,
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"min_length": 40,
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"no_repeat_ngram_size": 3,
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"num_beams": 2,
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"pad_token_id": 1,
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"transformers_version": "4.41.2",
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"use_cache": false
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}
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model.safetensors
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runs/Jul06_15-20-55_e73e6eb1ed3c/events.out.tfevents.1720279363.e73e6eb1ed3c.34.0
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runs/Jul06_15-20-55_e73e6eb1ed3c/events.out.tfevents.1720281920.e73e6eb1ed3c.34.1
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