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This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4148
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
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0218 | 0.9032 | 7 | 0.8713 |
| 0.5518 | 1.9355 | 15 | 0.5401 |
| 0.3373 | 2.9677 | 23 | 0.4473 |
| 0.3523 | 4.0 | 31 | 0.4159 |
| 0.3219 | 4.5161 | 35 | 0.4148 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for Huma97/llama2-EquityAdvisor
Base model
meta-llama/Llama-2-7b-chat-hf