Downloads · 30 days
15
2% of all-time downloads
medusa-vicuna_1b_stage1
Momorami/medusa-vicuna_1b_stage1
medusa-vicuna_1b_stage1 is a machine learning model from Momorami. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
811
Public
Parameters
1.4B
10.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.9 GB · 45%
At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024
- SHA
- dd3e02d8
Base models
Datasets
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. -->
<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
vicuna_1b_stage1
This model is a fine-tuned version of Jiayi-Pan/Tiny-Vicuna-1B on the Aeala/ShareGPT_Vicuna_unfiltered dataset. It achieves the following results on the evaluation set:
- Loss: 2.9673
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 40
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3461 | 0.0170 | 40 | 3.5421 |
| 3.2004 | 0.0340 | 80 | 3.1581 |
| 3.0095 | 0.0510 | 120 | 3.0506 |
| 2.714 | 0.0681 | 160 | 3.0168 |
| 2.9508 | 0.0851 | 200 | 2.9764 |
| 2.9774 | 0.1021 | 240 | 2.9598 |
| 2.8688 | 0.1191 | 280 | 2.9551 |
| 2.8195 | 0.1361 | 320 | 2.9420 |
| 2.8471 | 0.1531 | 360 | 2.9328 |
| 2.9252 | 0.1701 | 400 | 2.9673 |
Framework versions
- Transformers 4.43.0
- Pytorch 2.3.1
- Datasets 2.15.0
- Tokenizers 0.19.1
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024