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Llama-3.2-1B-Instruct
AlekseyElygin/Llama-3.2-1B-Instruct
Llama-3.2-1B-Instruct is a machine learning model from AlekseyElygin. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Oct 18, 2024
- Updated
- Oct 22, 2024
- SHA
- b338393f
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. -->
Llama-3.2-1B-Instruct
This model is a fine-tuned version of unsloth/llama-3.2-1b-instruct-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7777
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: 5
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4933 | 0.3984 | 100 | 1.8305 |
| 1.6205 | 0.7968 | 200 | 1.7777 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.2
- Created
- Oct 18, 2024
- Updated
- Oct 22, 2024