MLP-FinLLM-7b-it
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4445
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: 0.0025177606136092684
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5449 | 1.22 | 50 | 0.7534 |
| 0.3165 | 2.44 | 100 | 0.5170 |
| 0.2331 | 3.66 | 150 | 0.4445 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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