Spaces:
Build error
Build error
File size: 2,007 Bytes
72043da |
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 73 |
---
base_model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Mistral-7B-v0.3-Chinese-Chat
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-7B-v0.3-Chinese-Chat
This model is a fine-tuned version of [shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat](https://huggingface.co/shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat) on the alpaca_mgtv_p2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1295
## 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: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1803 | 0.1990 | 35 | 0.1682 |
| 0.1583 | 0.3980 | 70 | 0.1548 |
| 0.1439 | 0.5970 | 105 | 0.1490 |
| 0.1488 | 0.7960 | 140 | 0.1356 |
| 0.1385 | 0.9950 | 175 | 0.1367 |
| 0.1092 | 1.1940 | 210 | 0.1316 |
| 0.1282 | 1.3930 | 245 | 0.1276 |
| 0.1135 | 1.5920 | 280 | 0.1306 |
| 0.1071 | 1.7910 | 315 | 0.1307 |
| 0.1075 | 1.9900 | 350 | 0.1295 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |