metadata
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- scottsuk0306/DepthQA
model-index:
- name: zephyr-7b-sft-full
results: []
zephyr-7b-sft-full
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the scottsuk0306/DepthQA dataset. It achieves the following results on the evaluation set:
- Loss: 0.4115
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- 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 |
|---|---|---|---|
| 1.1097 | 1.0 | 1 | 1.1095 |
| 1.1097 | 2.0 | 2 | 1.2840 |
| 1.1097 | 3.0 | 3 | 1.0815 |
| 1.1097 | 4.0 | 4 | 0.8740 |
| 1.0878 | 5.0 | 5 | 0.7459 |
| 1.0878 | 6.0 | 6 | 0.6034 |
| 1.0878 | 7.0 | 7 | 0.5202 |
| 1.0878 | 8.0 | 8 | 0.4572 |
| 1.0878 | 9.0 | 9 | 0.4221 |
| 0.5493 | 10.0 | 10 | 0.4115 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1