File size: 1,728 Bytes
1baa084 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | ---
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Long_attention_Longformer
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Long_attention_Longformer
This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/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
|