GoldenSnitch12/financial_statements
16
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financial_statements
This model is a fine-tuned version of togethercomputer/Llama-2-7B-32K-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0511
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: 0.0001
- trainbatchsize: 4
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.05
- num_epochs: 2
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1