metadata
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: mistral_o1_10_full
results: []
mistral_o1_10_full
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.6912
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.79 | 0.0622 | 100 | 0.8509 |
| 0.7592 | 0.1245 | 200 | 0.9030 |
| 0.7628 | 0.1867 | 300 | 0.8635 |
| 0.7546 | 0.2489 | 400 | 0.8601 |
| 0.7427 | 0.3111 | 500 | 0.8204 |
| 0.7268 | 0.3734 | 600 | 0.8335 |
| 0.7084 | 0.4356 | 700 | 0.8025 |
| 0.6958 | 0.4978 | 800 | 0.7765 |
| 0.6789 | 0.5600 | 900 | 0.7588 |
| 0.6506 | 0.6223 | 1000 | 0.7463 |
| 0.645 | 0.6845 | 1100 | 0.7306 |
| 0.6335 | 0.7467 | 1200 | 0.7130 |
| 0.615 | 0.8090 | 1300 | 0.7026 |
| 0.608 | 0.8712 | 1400 | 0.6949 |
| 0.604 | 0.9334 | 1500 | 0.6919 |
| 0.6039 | 0.9956 | 1600 | 0.6911 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1