metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pszemraj/govreport-summarization-8192
model-index:
- name: led-base-16384-finetuned-govreport
results: []
language:
- en
pipeline_tag: summarization
led-base-16384-finetuned-govreport
This model is a fine-tuned version of allenai/led-base-16384 on the pszemraj/govreport-summarization-8192 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2887
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1492 | 0.24 | 250 | 1.4233 |
| 1.0077 | 0.49 | 500 | 1.3813 |
| 1.0069 | 0.73 | 750 | 1.3499 |
| 0.9639 | 0.98 | 1000 | 1.3216 |
| 0.7996 | 1.22 | 1250 | 1.3172 |
| 0.9395 | 1.46 | 1500 | 1.3003 |
| 0.913 | 1.71 | 1750 | 1.2919 |
| 0.8843 | 1.95 | 2000 | 1.2887 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3