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-1_auto
results: []
Mistral-7B_task-3_120-samples_config-1_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: 0.4639
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: 8
- total_train_batch_size: 8
- 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 |
|---|---|---|---|
| 2.0683 | 1.0 | 11 | 1.5828 |
| 0.3118 | 2.0 | 22 | 0.4176 |
| 0.1835 | 3.0 | 33 | 0.3052 |
| 0.2052 | 4.0 | 44 | 0.2839 |
| 0.136 | 5.0 | 55 | 0.2934 |
| 0.0724 | 6.0 | 66 | 0.3545 |
| 0.044 | 7.0 | 77 | 0.3941 |
| 0.024 | 8.0 | 88 | 0.3894 |
| 0.0209 | 9.0 | 99 | 0.4124 |
| 0.0046 | 10.0 | 110 | 0.4325 |
| 0.0046 | 11.0 | 121 | 0.4639 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1