Downloads · 30 days
2
9% of all-time downloads
logs
akshatshaw/logs
logs is a machine learning model from akshatshaw. 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
23
Public
Repo size
101 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors101 MB · 98%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024
- SHA
- bae3ea4e
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. -->
logs
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2743
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0529 | 0.9956 | 112 | 1.1079 |
| 0.8563 | 2.0 | 225 | 1.0902 |
| 0.684 | 2.9956 | 337 | 1.1762 |
| 0.5762 | 3.9822 | 448 | 1.2743 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Jun 2, 2024
- Updated
- Jun 2, 2024