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databricks-dolly-15k-pythia-410m-deduped
This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0108
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1501 | 2.0141 |
| 1.9792 | 2.0 | 3002 | 2.0016 |
| 1.9792 | 3.0 | 4503 | 2.0007 |
| 1.8117 | 4.0 | 6004 | 2.0033 |
| 1.8117 | 5.0 | 7505 | 2.0066 |
| 1.7612 | 6.0 | 9006 | 2.0075 |
| 1.7612 | 7.0 | 10507 | 2.0092 |
| 1.7469 | 8.0 | 12008 | 2.0110 |
| 1.7469 | 9.0 | 13509 | 2.0110 |
| 1.7438 | 10.0 | 15010 | 2.0108 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
