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layer_9,10,11,12,13
This model is a fine-tuned version of EleutherAI/pythia-1b-deduped on the Multi-Domain-Expert-Layers/uspto dataset. It achieves the following results on the evaluation set:
- Loss: 2.2158
- Accuracy: 0.5264
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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2702 | 0.01 | 200 | 2.2378 | 0.5232 |
| 2.2383 | 0.01 | 400 | 2.2208 | 0.5254 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+rocm5.4.2
- Datasets 2.11.0
- Tokenizers 0.13.3
Wandb Report
https://wandb.ai/ontocord/jason-test-pythia-1b-deduped-layer-test-uspto/runs/c7pwmypg
