metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: Mixtral_Alpace_v3
results: []
Mixtral_Alpace_v3
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7630
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: 10
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9965 | 0.01 | 10 | 0.9608 |
| 0.9611 | 0.02 | 20 | 0.9045 |
| 0.8601 | 0.02 | 30 | 0.8574 |
| 0.8382 | 0.03 | 40 | 0.8280 |
| 0.8326 | 0.04 | 50 | 0.8072 |
| 0.7815 | 0.05 | 60 | 0.7904 |
| 0.796 | 0.06 | 70 | 0.7786 |
| 0.7668 | 0.07 | 80 | 0.7701 |
| 0.7774 | 0.07 | 90 | 0.7648 |
| 0.7699 | 0.08 | 100 | 0.7630 |
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2