metadata
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-stem-case-7
results: []
zephyr-7b-stem-case-7
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.0095
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.035 | 1.0 | 7 | 0.8066 |
| 0.8612 | 2.0 | 14 | 0.5046 |
| 0.4464 | 3.0 | 21 | 0.2836 |
| 0.2872 | 4.0 | 28 | 0.1444 |
| 0.1132 | 5.0 | 35 | 0.0621 |
| 0.0555 | 6.0 | 42 | 0.0280 |
| 0.0371 | 7.0 | 49 | 0.0172 |
| 0.017 | 8.0 | 56 | 0.0122 |
| 0.0126 | 9.0 | 63 | 0.0100 |
| 0.0099 | 10.0 | 70 | 0.0095 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1