led
This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.5049
- eval_rouge1_precision: 0.2436
- eval_rouge1_recall: 0.3162
- eval_rouge1_fmeasure: 0.2711
- eval_runtime: 3740.5655
- eval_samples_per_second: 0.802
- eval_steps_per_second: 0.025
- epoch: 0.13
- step: 30
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1
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Model tree for silmi224/led
Base model
allenai/led-base-16384