metadata
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrachat_200k
model-index:
- name: zephyr-7b-sft-full
results: []
zephyr-7b-sft-full
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:
- Loss: 0.9934
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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9681 | 0.1845 | 100 | 0.9788 |
| 0.9962 | 0.3690 | 200 | 1.0030 |
| 0.9917 | 0.5535 | 300 | 1.0008 |
| 0.9652 | 0.7380 | 400 | 0.9939 |
| 0.9666 | 0.9225 | 500 | 0.9816 |
| 0.7366 | 1.1070 | 600 | 0.9852 |
| 0.7228 | 1.2915 | 700 | 0.9835 |
| 0.7319 | 1.4760 | 800 | 0.9644 |
| 0.7177 | 1.6605 | 900 | 0.9529 |
| 0.7095 | 1.8450 | 1000 | 0.9394 |
| 0.4465 | 2.0295 | 1100 | 0.9917 |
| 0.4341 | 2.2140 | 1200 | 0.9979 |
| 0.432 | 2.3985 | 1300 | 0.9954 |
| 0.4301 | 2.5830 | 1400 | 0.9943 |
| 0.4361 | 2.7675 | 1500 | 0.9931 |
| 0.4256 | 2.9520 | 1600 | 0.9934 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.2+rocm5.7
- Datasets 3.2.0
- Tokenizers 0.20.3