zephyr-7b-sft-full-sftwdpodata
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0375
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: 5e-07
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.0685 | 1.0 | 478 | 1.0375 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.1.0
- Datasets 3.0.1
- Tokenizers 0.20.1
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