expert-freelaw
This model is a fine-tuned version of EleutherAI/pythia-1b-deduped on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0413
- Accuracy: 0.5643
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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|---|
| 2.0772 | 0.01 | 200 | 2.0728 | 0.5588 |
| 2.0718 | 0.01 | 400 | 2.0656 | 0.5600 |
| 2.0661 | 0.02 | 600 | 2.0561 | 0.5617 |
| 2.0606 | 0.03 | 800 | 2.0472 | 0.5632 |
| 2.0514 | 0.04 | 1000 | 2.0413 | 0.5643 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3