File size: 2,265 Bytes
ab1a9e6 db2b235 836d775 db2b235 afc34c1 7932eb8 846d6b8 30b551f c92cc11 698cca1 871a9f8 b3d2baa db2b235 |
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 |
---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
---
# Uploaded model
- **Developed by:** Angelectronic
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
### Evaluation
- **ViMMRC test set:** 0.7913 accuracy
### Training results
| Training Loss | Accuracy | Step | Validation Loss |
|:-------------:|:---------:|:-----:|:---------------:|
| 1.031300 | 0.764065 | 240 | 1.471467 |
| 0.854200 | 0.767695 | 480 | 1.459051 |
| 0.753000 | 0.791288 | 720 | 1.521693 |
| 0.669600 | 0.767695 | 960 | 1.521454 |
| 0.592300 | 0.771324 | 1200 | 1.590301 |
| 0.496500 | 0.780399 | 1440 | 1.608687 |
| 0.381800 | 0.785843 | 1680 | 1.641979 |
| 0.334100 | 0.769510 | 1920 | 1.629696 |
| 0.285500 | 0.769510 | 2160 | 1.715881 |
| 0.242200 | 0.765880 | 2400 | 1.747410 |
| 0.200000 | 0.773140 | 2640 | 1.813693 |
| 0.146800 | 0.765880 | 2880 | 1.937426 |
| 0.112200 | 0.776769 | 3120 | 1.937926 |
| 0.101500 | 0.765880 | 3360 | 1.997301 |
| 0.094200 | 0.764065 | 3600 | 1.968903 |
| 0.087000 | 0.758621 | 3840 | 2.004644 |
| 0.084600 | 0.762250 | 4080 | 2.010856 |
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- eval_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|