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_120-samples_config-2_auto
results: []
Mistral-7B_task-3_120-samples_config-2_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: 0.5208
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 |
|---|---|---|---|
| 3.1892 | 0.9091 | 5 | 2.4894 |
| 1.3236 | 2.0 | 11 | 0.7405 |
| 0.4001 | 2.9091 | 16 | 0.4180 |
| 0.3601 | 4.0 | 22 | 0.3182 |
| 0.217 | 4.9091 | 27 | 0.2956 |
| 0.1679 | 6.0 | 33 | 0.2813 |
| 0.1291 | 6.9091 | 38 | 0.3133 |
| 0.0786 | 8.0 | 44 | 0.3621 |
| 0.0336 | 8.9091 | 49 | 0.4239 |
| 0.0221 | 10.0 | 55 | 0.4524 |
| 0.0153 | 10.9091 | 60 | 0.4673 |
| 0.0094 | 12.0 | 66 | 0.4911 |
| 0.0063 | 12.9091 | 71 | 0.5208 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1