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---
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-stem-train
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-stem-train
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the scottsuk0306/DepthQA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4842
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1139 | 1.0 | 1 | 1.1133 |
| 1.1139 | 2.0 | 2 | 1.2947 |
| 1.1139 | 3.0 | 3 | 1.0840 |
| 1.1139 | 4.0 | 4 | 0.8533 |
| 1.0874 | 5.0 | 5 | 0.7534 |
| 1.0874 | 6.0 | 6 | 0.6295 |
| 1.0874 | 7.0 | 7 | 0.5679 |
| 1.0874 | 8.0 | 8 | 0.5225 |
| 1.0874 | 9.0 | 9 | 0.4936 |
| 0.5928 | 10.0 | 10 | 0.4842 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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