led-base-16384-cnn_dailymail_v3
This model is a fine-tuned version of allenai/led-base-16384 on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.6000
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9392 | 0.45 | 1000 | 1.6459 |
| 1.7291 | 0.89 | 2000 | 1.6000 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for Farshid/led-base-16384-cnn_dailymail_v3
Base model
allenai/led-base-16384