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---
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: mistral-stock-finetune
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. -->
# mistral-stock-finetune
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6325
## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2624 | 0.07 | 25 | 1.0074 |
| 0.8582 | 0.13 | 50 | 0.7799 |
| 0.7578 | 0.2 | 75 | 0.7358 |
| 0.7276 | 0.26 | 100 | 0.7133 |
| 0.7104 | 0.33 | 125 | 0.6944 |
| 0.6791 | 0.4 | 150 | 0.6819 |
| 0.6856 | 0.46 | 175 | 0.6734 |
| 0.6723 | 0.53 | 200 | 0.6658 |
| 0.6629 | 0.59 | 225 | 0.6601 |
| 0.6526 | 0.66 | 250 | 0.6553 |
| 0.6395 | 0.73 | 275 | 0.6505 |
| 0.6537 | 0.79 | 300 | 0.6471 |
| 0.6317 | 0.86 | 325 | 0.6445 |
| 0.6401 | 0.92 | 350 | 0.6405 |
| 0.6412 | 0.99 | 375 | 0.6375 |
| 0.6303 | 1.06 | 400 | 0.6367 |
| 0.6135 | 1.12 | 425 | 0.6347 |
| 0.6107 | 1.19 | 450 | 0.6336 |
| 0.605 | 1.25 | 475 | 0.6330 |
| 0.6062 | 1.32 | 500 | 0.6325 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2 |