model
This model is a fine-tuned version of h2oai/h2ogpt-16k-codellama-7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1710
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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.801 | 0.58 | 20 | 0.4678 |
| 0.4313 | 1.17 | 40 | 0.2828 |
| 0.2631 | 1.75 | 60 | 0.1710 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
h2oai/h2ogpt-16k-codellama-7b-instruct