metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral_id
results: []
mistral_id
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.8160
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9505 | 0.42 | 20 | 0.9159 |
| 0.8605 | 0.83 | 40 | 0.8492 |
| 0.7489 | 1.25 | 60 | 0.8221 |
| 0.7282 | 1.66 | 80 | 0.8039 |
| 0.6921 | 2.08 | 100 | 0.8083 |
| 0.6337 | 2.49 | 120 | 0.8022 |
| 0.6186 | 2.91 | 140 | 0.7973 |
| 0.5576 | 3.32 | 160 | 0.8157 |
| 0.5557 | 3.74 | 180 | 0.8161 |
| 0.5495 | 4.15 | 200 | 0.8160 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0