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open_llama_3b_v2-textworld_cooking_augmented_sft
This model is a fine-tuned version of openlm-research/open_llama_3b_v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1592
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 |
|---|---|---|---|
| 0.1795 | 0.1 | 814 | 0.2018 |
| 0.1302 | 0.2 | 1628 | 0.1831 |
| 0.1513 | 0.3 | 2442 | 0.1738 |
| 0.1467 | 0.4 | 3256 | 0.1692 |
| 0.1631 | 0.5 | 4070 | 0.1647 |
| 0.0907 | 0.6 | 4884 | 0.1614 |
| 0.106 | 0.7 | 5698 | 0.1613 |
| 0.1188 | 0.8 | 6512 | 0.1599 |
| 0.1031 | 0.9 | 7326 | 0.1592 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
