seq2seq-plm
This model is a fine-tuned version of khairi/seq2seq-plm on an unknown dataset.
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 6000
- num_epochs: 20
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1
- Datasets 3.0.0
- Tokenizers 0.19.1
- Downloads last month
- 101
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for khairi/seq2seq-plm
Unable to build the model tree, the base model loops to the model itself. Learn more.