File size: 1,970 Bytes
7316452 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: shawgpt-ft
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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9133
## 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: 4
- eval_batch_size: 4
- 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: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.5947 | 0.9231 | 3 | 3.9687 |
| 4.0605 | 1.8462 | 6 | 3.4593 |
| 3.4922 | 2.7692 | 9 | 3.0115 |
| 2.2795 | 4.0 | 13 | 2.5880 |
| 2.716 | 4.9231 | 16 | 2.3468 |
| 2.4034 | 5.8462 | 19 | 2.1664 |
| 2.2504 | 6.7692 | 22 | 2.0737 |
| 1.5847 | 8.0 | 26 | 1.9858 |
| 2.0565 | 8.9231 | 29 | 1.9231 |
| 1.4097 | 9.2308 | 30 | 1.9133 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |