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-1_120-samples_config-2
results: []
Mistral-7B_task-1_120-samples_config-2
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: 2.1465
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 |
|---|---|---|---|
| 2.2934 | 0.9091 | 5 | 2.0668 |
| 1.592 | 2.0 | 11 | 1.4282 |
| 1.2147 | 2.9091 | 16 | 1.2907 |
| 1.0354 | 4.0 | 22 | 1.1563 |
| 0.907 | 4.9091 | 27 | 1.1639 |
| 0.6665 | 6.0 | 33 | 1.2559 |
| 0.3785 | 6.9091 | 38 | 1.4904 |
| 0.1927 | 8.0 | 44 | 1.8472 |
| 0.0701 | 8.9091 | 49 | 2.0194 |
| 0.0521 | 10.0 | 55 | 2.1609 |
| 0.0379 | 10.9091 | 60 | 2.1465 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1