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-1_full_auto
results: []
Mistral-7B_task-3_60-samples_config-1_full_auto
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: 1.2003
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 |
|---|---|---|---|
| 1.2067 | 0.8696 | 5 | 1.1800 |
| 1.1313 | 1.9130 | 11 | 1.0719 |
| 1.0437 | 2.9565 | 17 | 0.9889 |
| 0.8887 | 4.0 | 23 | 0.8997 |
| 0.8094 | 4.8696 | 28 | 0.8760 |
| 0.7792 | 5.9130 | 34 | 0.8672 |
| 0.7139 | 6.9565 | 40 | 0.8654 |
| 0.666 | 8.0 | 46 | 0.8719 |
| 0.6045 | 8.8696 | 51 | 0.8943 |
| 0.5506 | 9.9130 | 57 | 0.9271 |
| 0.4489 | 10.9565 | 63 | 0.9576 |
| 0.3597 | 12.0 | 69 | 1.0070 |
| 0.3326 | 12.8696 | 74 | 1.0801 |
| 0.2557 | 13.9130 | 80 | 1.2003 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1