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_v16
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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_v16
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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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- eval_loss: 2.1156
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- eval_rouge1_precision: 0.6147
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- eval_rouge1_recall: 0.1563
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- eval_rouge1_fmeasure: 0.2489
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- eval_runtime: 105.7668
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- eval_samples_per_second: 0.095
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- eval_steps_per_second: 0.095
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- epoch: 26.35
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- step: 527
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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: 5.6e-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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- lr_scheduler_warmup_steps: 600
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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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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size 647614116
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runs/Jul10_14-59-21_6cbcad150f92/events.out.tfevents.1720623567.6cbcad150f92.435.1
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version https://git-lfs.github.com/spec/v1
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size
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size 28569
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