metadata
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Long_attention_Longformer
results: []
Long_attention_Longformer
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:
- Loss: 1.8677
- Bleu: 20.8728
- Meteor: 0.4023
- Comet: 0.4747
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Comet |
|---|---|---|---|---|---|---|
| 2.2865 | 0.9994 | 786 | 2.1788 | 13.5745 | 0.2981 | 0.3646 |
| 2.0517 | 2.0 | 1573 | 1.8939 | 19.3520 | 0.3838 | 0.4486 |
| 1.9429 | 2.9981 | 2358 | 1.8313 | 20.8728 | 0.4023 | 0.4747 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1