sft-fsi
This model is a fine-tuned version of dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978 on the dynamofl/train-default-FSI-PersonalFinancialAdvice-input-formatted-chatml dataset. It achieves the following results on the evaluation set:
- Loss: 0.5011
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.7021 | 1.0 | 15 | 2.5445 |
1.8713 | 2.0 | 30 | 1.7759 |
1.4708 | 3.0 | 45 | 1.3395 |
1.1043 | 4.0 | 60 | 1.0145 |
0.8429 | 5.0 | 75 | 0.7671 |
0.6977 | 6.0 | 90 | 0.6217 |
0.6012 | 7.0 | 105 | 0.5506 |
0.5428 | 8.0 | 120 | 0.5146 |
0.5235 | 9.0 | 135 | 0.5024 |
0.5368 | 10.0 | 150 | 0.5011 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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