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_60-samples_config-2
results: []
Mistral-7B_task-3_60-samples_config-2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9100
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 |
|---|---|---|---|
| 3.6443 | 0.6957 | 2 | 3.4455 |
| 3.1998 | 1.7391 | 5 | 1.8330 |
| 1.1687 | 2.7826 | 8 | 0.7476 |
| 0.7861 | 3.8261 | 11 | 0.5044 |
| 0.3983 | 4.8696 | 14 | 0.4260 |
| 0.359 | 5.9130 | 17 | 0.3850 |
| 0.2531 | 6.9565 | 20 | 0.3752 |
| 0.1449 | 8.0 | 23 | 0.4619 |
| 0.1711 | 8.6957 | 25 | 0.5146 |
| 0.0704 | 9.7391 | 28 | 0.6076 |
| 0.0479 | 10.7826 | 31 | 0.7174 |
| 0.0096 | 11.8261 | 34 | 0.8062 |
| 0.0056 | 12.8696 | 37 | 0.8766 |
| 0.0024 | 13.9130 | 40 | 0.9100 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1