results / README.md
jwyao's picture
sequence
0f0ac82
---
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: results
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5181
## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0113 | 0.08 | 5 | 4.2401 |
| 3.9501 | 0.17 | 10 | 3.5159 |
| 3.5429 | 0.25 | 15 | 2.8638 |
| 2.4329 | 0.34 | 20 | 2.2028 |
| 1.9968 | 0.42 | 25 | 1.4709 |
| 1.3706 | 0.5 | 30 | 1.0854 |
| 0.9502 | 0.59 | 35 | 0.8431 |
| 0.7835 | 0.67 | 40 | 0.6751 |
| 0.7254 | 0.76 | 45 | 0.6131 |
| 0.5724 | 0.84 | 50 | 0.5480 |
| 0.5966 | 0.92 | 55 | 0.5181 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1