|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
datasets: |
|
- generator |
|
model-index: |
|
- name: mistral7b_instruct_generation |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# mistral7b_instruct_generation |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8140 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_steps: 0.03 |
|
- training_steps: 500 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.8937 | 0.0028 | 20 | 1.8344 | |
|
| 1.8442 | 0.0056 | 40 | 1.8027 | |
|
| 1.887 | 0.0084 | 60 | 1.7948 | |
|
| 1.7711 | 0.0112 | 80 | 1.7884 | |
|
| 1.7809 | 0.0140 | 100 | 1.7881 | |
|
| 1.8632 | 0.0168 | 120 | 1.7957 | |
|
| 1.8436 | 0.0196 | 140 | 1.8012 | |
|
| 1.8959 | 0.0224 | 160 | 1.7860 | |
|
| 1.8644 | 0.0252 | 180 | 1.7912 | |
|
| 1.8285 | 0.0280 | 200 | 1.7884 | |
|
| 1.8769 | 0.0307 | 220 | 1.7982 | |
|
| 1.8726 | 0.0335 | 240 | 1.8046 | |
|
| 1.8227 | 0.0363 | 260 | 1.7954 | |
|
| 1.8554 | 0.0391 | 280 | 1.7927 | |
|
| 1.9006 | 0.0419 | 300 | 1.7952 | |
|
| 1.769 | 0.0447 | 320 | 1.8006 | |
|
| 1.8014 | 0.0475 | 340 | 1.7895 | |
|
| 1.8772 | 0.0503 | 360 | 1.7966 | |
|
| 1.7403 | 0.0531 | 380 | 1.7988 | |
|
| 1.8945 | 0.0559 | 400 | 1.7979 | |
|
| 1.8937 | 0.0587 | 420 | 1.7987 | |
|
| 1.9235 | 0.0615 | 440 | 1.8044 | |
|
| 1.8496 | 0.0643 | 460 | 1.7951 | |
|
| 1.8778 | 0.0671 | 480 | 1.7974 | |
|
| 1.8681 | 0.0699 | 500 | 1.8140 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
