metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistrAND-v2-mistral-andalusian
results: []
mistrAND-v2-mistral-andalusian
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1894
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: 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: 650
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.8749 | 0.0763 | 50 | 2.0418 |
1.5846 | 0.1527 | 100 | 1.7360 |
1.3465 | 0.2290 | 150 | 1.6464 |
1.5093 | 0.3053 | 200 | 1.5062 |
1.204 | 0.3817 | 250 | 1.4444 |
1.2046 | 0.4580 | 300 | 1.3813 |
1.2638 | 0.5344 | 350 | 1.3477 |
1.1846 | 0.6107 | 400 | 1.3114 |
1.2367 | 0.6870 | 450 | 1.2750 |
1.2948 | 0.7634 | 500 | 1.2401 |
1.3076 | 0.8397 | 550 | 1.2119 |
0.9692 | 0.9160 | 600 | 1.1995 |
1.1368 | 0.9924 | 650 | 1.1894 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1