metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral7binstruct_summarize
results: []
mistral7binstruct_summarize
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.4924
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 3
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6188 | 0.22 | 25 | 1.5050 |
| 1.5803 | 0.43 | 50 | 1.4716 |
| 1.541 | 0.65 | 75 | 1.4659 |
| 1.5501 | 0.86 | 100 | 1.4611 |
| 1.3937 | 1.08 | 125 | 1.4710 |
| 1.388 | 1.29 | 150 | 1.4705 |
| 1.3811 | 1.51 | 175 | 1.4681 |
| 1.2997 | 1.72 | 200 | 1.4695 |
| 1.3746 | 1.94 | 225 | 1.4583 |
| 1.2607 | 2.16 | 250 | 1.4895 |
| 1.172 | 2.37 | 275 | 1.4936 |
| 1.1847 | 2.59 | 300 | 1.4924 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2