zephyr-hagrid-deduplicated-rag-agent-3b
This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on the erbacher/rag-and-roll-hagrid-deduplicated dataset. It achieves the following results on the evaluation set:
- Loss: 1.4172
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.5167 | 0.99 | 66 | 1.4631 |
1.4531 | 2.0 | 133 | 1.4279 |
1.4024 | 2.99 | 199 | 1.4186 |
1.4031 | 4.0 | 266 | 1.4172 |
1.3087 | 4.96 | 330 | 1.4172 |
Framework versions
- PEFT 0.12.0
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.15.2
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Model tree for hanane/zephyr-hagrid-deduplicated-rag-agent-3b
Base model
stabilityai/stablelm-zephyr-3b