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_full_auto
results: []
Mistral-7B_task-3_60-samples_config-2_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: 0.9559
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 |
|---|---|---|---|
| 1.2142 | 0.6957 | 2 | 1.2086 |
| 1.2072 | 1.7391 | 5 | 1.1265 |
| 1.0872 | 2.7826 | 8 | 1.0536 |
| 1.0158 | 3.8261 | 11 | 0.9948 |
| 0.9378 | 4.8696 | 14 | 0.9304 |
| 0.8785 | 5.9130 | 17 | 0.8949 |
| 0.8173 | 6.9565 | 20 | 0.8793 |
| 0.8163 | 8.0 | 23 | 0.8703 |
| 0.7922 | 8.6957 | 25 | 0.8672 |
| 0.7598 | 9.7391 | 28 | 0.8669 |
| 0.7519 | 10.7826 | 31 | 0.8653 |
| 0.7182 | 11.8261 | 34 | 0.8703 |
| 0.6734 | 12.8696 | 37 | 0.8750 |
| 0.6525 | 13.9130 | 40 | 0.8917 |
| 0.6044 | 14.9565 | 43 | 0.8961 |
| 0.5698 | 16.0 | 46 | 0.9223 |
| 0.5067 | 16.6957 | 48 | 0.9411 |
| 0.51 | 17.7391 | 51 | 0.9559 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1