Jamba-1.5-Mini-Full-FT
This model is a fine-tuned version of ai21labs/AI21-Jamba-1.5-Mini on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.7744
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: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 64
- 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: 0.01
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.778 | 1.0 | 159 | 0.8063 |
| 0.7417 | 2.0 | 318 | 0.7769 |
| 0.7136 | 3.0 | 477 | 0.7744 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for hofitB/Jamba-1.5-Mini-Full-FT
Base model
ai21labs/AI21-Jamba-1.5-Mini