metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral-Noromaid-7B
results: []
Mistral-Noromaid-7B
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1514
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: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2103 | 0.0 | 1 | 1.5604 |
| 1.3191 | 0.1 | 192 | 1.2539 |
| 1.1727 | 0.2 | 384 | 1.2346 |
| 1.3466 | 0.3 | 576 | 1.2171 |
| 0.9652 | 0.4 | 768 | 1.2073 |
| 0.996 | 0.5 | 960 | 1.1920 |
| 0.7863 | 0.6 | 1152 | 1.1804 |
| 0.8883 | 0.7 | 1344 | 1.1700 |
| 0.9351 | 0.8 | 1536 | 1.1590 |
| 0.8361 | 0.9 | 1728 | 1.1511 |
| 1.2718 | 1.0 | 1920 | 1.1438 |
| 0.9613 | 1.09 | 2112 | 1.1585 |
| 1.4066 | 1.19 | 2304 | 1.1550 |
| 0.7388 | 1.29 | 2496 | 1.1538 |
| 1.0686 | 1.39 | 2688 | 1.1531 |
| 1.3536 | 1.49 | 2880 | 1.1533 |
| 0.4994 | 1.59 | 3072 | 1.1517 |
| 0.7574 | 1.69 | 3264 | 1.1519 |
| 0.7574 | 1.79 | 3456 | 1.1516 |
| 1.1436 | 1.89 | 3648 | 1.1514 |
| 1.4085 | 1.99 | 3840 | 1.1514 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0