zephyr-smol_llama-100m-sft-full
This model is a fine-tuned version of BEE-spoke-data/smol_llama-101M-GQA on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9579
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9642 | 0.7 | 1141 | 1.9578 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for amazingvince/zephyr-smol_llama-100m-sft-full
Base model
BEE-spoke-data/smol_llama-101M-GQA