MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned
The model is created as a part of the project: linkwillbeaddedlater.
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.2116
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: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4631 | 0.9 | 175 | 1.4061 |
| 1.3229 | 1.8 | 350 | 1.2513 |
| 1.15 | 2.7 | 525 | 1.2116 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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