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layer_9,10,11,12,13
This model is a fine-tuned version of /pfs/lustrep4/scratch/project_462000259/ajunior/models/rallio3b on the /pfs/lustrep4/scratch/project_462000259/ajunior/data/arxiv dataset. It achieves the following results on the evaluation set:
- Loss: 2.3984
- Accuracy: 0.5176
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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5584 | 0.05 | 500 | 2.5312 | 0.4997 |
| 2.3975 | 0.1 | 1000 | 2.3984 | 0.5176 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+gitcb6c422
- Datasets 2.11.0
- Tokenizers 0.12.1
