metadata
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: goatV9-chat-QLORA-Merged
results: []
goatV9-chat-QLORA-Merged
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3902
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4856 | 0.16 | 200 | 0.4700 |
| 0.4337 | 0.31 | 400 | 0.4252 |
| 0.3998 | 0.47 | 600 | 0.4071 |
| 0.4126 | 0.63 | 800 | 0.3967 |
| 0.421 | 0.79 | 1000 | 0.3920 |
| 0.4018 | 0.94 | 1200 | 0.3902 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3