metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral-instruct-dutch-syntax-10000
results: []
Mistral-7B-Instruct-v0.1-syntax2023-12-16-21-24
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on a Lassy_small dataset curated for dutch syntax. 10000 samples where used, batch-size 2, runtime 2 epochs. It achieves the following results on the evaluation set:
- Loss: 0.2522
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: 0.03
- training_steps: 10000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7075 | 0.11 | 500 | 0.6710 |
| 0.3569 | 0.21 | 1000 | 0.4348 |
| 0.3458 | 0.32 | 1500 | 0.3517 |
| 0.3325 | 0.42 | 2000 | 0.3151 |
| 0.3014 | 0.53 | 2500 | 0.2928 |
| 0.2304 | 0.63 | 3000 | 0.2817 |
| 0.2984 | 0.74 | 3500 | 0.2736 |
| 0.2283 | 0.84 | 4000 | 0.2680 |
| 0.2399 | 0.95 | 4500 | 0.2640 |
| 0.24 | 1.05 | 5000 | 0.2609 |
| 0.2039 | 1.16 | 5500 | 0.2588 |
| 0.2447 | 1.26 | 6000 | 0.2558 |
| 0.2377 | 1.37 | 6500 | 0.2544 |
| 0.2399 | 1.47 | 7000 | 0.2544 |
| 0.2424 | 1.58 | 7500 | 0.2532 |
| 0.2626 | 1.68 | 8000 | 0.2527 |
| 0.2346 | 1.79 | 8500 | 0.2524 |
| 0.2194 | 1.89 | 9000 | 0.2522 |
| 0.2123 | 2.0 | 9500 | 0.2522 |
| 0.2618 | 2.11 | 10000 | 0.2522 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0