End of training
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README.md
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---
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license: apache-2.0
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base_model: allenai/led-base-16384
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: Long_attention_Longformer
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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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# Long_attention_Longformer
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8677
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- Bleu: 20.8728
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- Meteor: 0.4023
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- Comet: 0.4747
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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: 3e-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: 2
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- total_train_batch_size: 16
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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: 3
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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 | Bleu | Meteor | Comet |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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| 2.2865 | 0.9994 | 786 | 2.1788 | 13.5745 | 0.2981 | 0.3646 |
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| 2.0517 | 2.0 | 1573 | 1.8939 | 19.3520 | 0.3838 | 0.4486 |
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| 1.9429 | 2.9981 | 2358 | 1.8313 | 20.8728 | 0.4023 | 0.4747 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.19.1
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