BT-Jamba-tiny-dev-customer-support
This model is a fine-tuned version of ai21labs/Jamba-tiny-dev on the bitext/Bitext-combined-banking-wealth_management-mortgage_loans dataset. It achieves the following results on the evaluation set:
- Loss: 0.5598
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.6095 | 1.0 | 150 | 0.6130 |
| 0.5353 | 2.0 | 300 | 0.5674 |
| 0.4782 | 3.0 | 450 | 0.5598 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
ai21labs/Jamba-tiny-dev