Downloads · 30 days
11
18% of all-time downloads
zephyr_outputs
lvcalucioli/zephyr_outputs
zephyr_outputs is a machine learning model from lvcalucioli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
61
Public
Parameters
7.5B
10 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors4.2 GB · 100%
Parameter types
How the weights are stored.
U87.2B · 96%
Base models
Model card
From the Hugging Face model README
<!-- 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_outputs
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3066
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7024 | 1.0 | 9 | 1.2276 |
| 0.8726 | 2.0 | 18 | 1.1114 |
| 0.4336 | 3.0 | 27 | 1.1273 |
| 0.1907 | 4.0 | 36 | 1.3390 |
| 0.0789 | 5.0 | 45 | 1.3066 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- peft
- Type
- mistral
- License
- mit
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024