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test-clm
This model is a fine-tuned version of gpt2 on the AlekseyKorshuk/up-it-ds-sft dataset. It achieves the following results on the evaluation set:
- Loss: 3.1025
- Accuracy: 0.4214
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.10.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1