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pythia-2.8b-deduped-textworld_cooking_augmented_sft
This model is a fine-tuned version of EleutherAI/pythia-2.8b-deduped on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1714
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: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2032 | 0.1 | 814 | 0.2179 |
0.1762 | 0.2 | 1628 | 0.1982 |
0.17 | 0.3 | 2442 | 0.1868 |
0.1231 | 0.4 | 3256 | 0.1812 |
0.1401 | 0.5 | 4070 | 0.1753 |
0.1518 | 0.6 | 4884 | 0.1733 |
0.1099 | 0.7 | 5698 | 0.1718 |
0.146 | 0.8 | 6512 | 0.1714 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3