metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-3_180-samples_config-2_full_auto
results: []
Mistral-7B_task-3_180-samples_config-2_full_auto
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0871
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2028 | 0.9412 | 8 | 1.1677 |
| 1.0682 | 2.0 | 17 | 1.0442 |
| 0.9635 | 2.9412 | 25 | 0.9281 |
| 0.8271 | 4.0 | 34 | 0.8806 |
| 0.8008 | 4.9412 | 42 | 0.8643 |
| 0.7975 | 6.0 | 51 | 0.8549 |
| 0.7857 | 6.9412 | 59 | 0.8526 |
| 0.6998 | 8.0 | 68 | 0.8610 |
| 0.5987 | 8.9412 | 76 | 0.8879 |
| 0.5553 | 10.0 | 85 | 0.9139 |
| 0.4959 | 10.9412 | 93 | 0.9456 |
| 0.4148 | 12.0 | 102 | 0.9965 |
| 0.3734 | 12.9412 | 110 | 1.0427 |
| 0.3239 | 14.0 | 119 | 1.0871 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1