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open_llama_7b_v2-textworld_cooking_augmented_sft
This model is a fine-tuned version of openlm-research/open_llama_7b_v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1547
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 |
---|---|---|---|
0.165 | 0.1 | 814 | 0.1870 |
0.1249 | 0.2 | 1628 | 0.1692 |
0.1224 | 0.3 | 2442 | 0.1633 |
0.1128 | 0.4 | 3256 | 0.1612 |
0.1642 | 0.5 | 4070 | 0.1567 |
0.101 | 0.6 | 4884 | 0.1565 |
0.1146 | 0.7 | 5698 | 0.1559 |
0.1025 | 0.8 | 6512 | 0.1551 |
0.1076 | 0.9 | 7326 | 0.1547 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3