metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: cot_method2test-mistral-7B_v1
results: []
cot_method2test-mistral-7B_v1
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: 0.7463
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0057 | 0.48 | 5 | 1.2410 |
| 0.9781 | 0.95 | 10 | 1.1410 |
| 0.8181 | 1.43 | 15 | 1.0440 |
| 0.7273 | 1.9 | 20 | 0.9502 |
| 0.6721 | 2.38 | 25 | 0.8735 |
| 0.5397 | 2.86 | 30 | 0.8148 |
| 0.4642 | 3.33 | 35 | 0.7771 |
| 0.4328 | 3.81 | 40 | 0.7565 |
| 0.3788 | 4.29 | 45 | 0.7490 |
| 0.4171 | 4.76 | 50 | 0.7463 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0