Downloads · 30 days
9
41% of all-time downloads
llama2-docsum-adapter
AvniMittal13/llama2-docsum-adapter
llama2-docsum-adapter is a machine learning model from AvniMittal13. 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
22
Public
Repo size
39.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors7.9 MB · 68%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024
- SHA
- 4d4a3434
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. -->
llama2-docsum-adapter
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4782
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.71 | 0.4 | 200 | 1.4977 |
| 1.7529 | 0.8 | 400 | 1.4883 |
| 1.1946 | 1.2 | 600 | 1.4800 |
| 1.6962 | 1.6 | 800 | 1.4786 |
| 1.1067 | 2.0 | 1000 | 1.4782 |
Framework versions
- PEFT 0.13.1.dev0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024