Downloads · 30 days
7
35% of all-time downloads
results
lvcalucioli/results
results 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 llama2.
should probably proofread and complete it, then remove this comment. --
All-time downloads
20
Public
Parameters
783M
3.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.3 GB · 100%
At a glance
- Library
- peft
- License
- llama2
- Model type
- t5
- Access
- Public
- Created
- Feb 14, 2024
- Updated
- Feb 16, 2024
- SHA
- f1a999a5
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. -->
results
This model is a fine-tuned version of swap-uniba/LLaMAntino-2-7b-hf-ITA on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4095
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6551 | 1.0 | 90 | 1.4257 |
| 1.1957 | 2.0 | 180 | 1.3750 |
| 0.8459 | 3.0 | 270 | 1.4095 |
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
- t5
- License
- llama2
- Created
- Feb 14, 2024
- Updated
- Feb 16, 2024