MLP-FinLLM-dpo-7b
This model is a fine-tuned version of seanmemery/MLP-FinLLM-7b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6707
- Rewards/chosen: 0.0674
- Rewards/rejected: -0.0381
- Rewards/accuracies: 0.2975
- Rewards/margins: 0.1055
- Logps/rejected: -22.125
- Logps/chosen: -29.875
- Logits/rejected: -5.8438
- Logits/chosen: -5.875
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: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6367 | 0.69 | 50 | 0.6707 | 0.0674 | -0.0381 | 0.2975 | 0.1055 | -22.125 | -29.875 | -5.8438 | -5.875 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for seanmemery/MLP-FinLLM-dpo-7b
Base model
meta-llama/Llama-2-7b-chat-hf
Finetuned
seanmemery/MLP-FinLLM-7b-it