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llama381binstruct_summarize_short
pejho/llama381binstruct_summarize_short
llama381binstruct_summarize_short is a machine learning model from pejho. 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- a949fef3
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. -->
llama381binstruct_summarize_short
This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5277
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5011 | 25.0 | 25 | 3.0612 |
| 0.0019 | 50.0 | 50 | 4.5464 |
| 0.0002 | 75.0 | 75 | 4.6303 |
| 0.0001 | 100.0 | 100 | 4.6056 |
| 0.0001 | 125.0 | 125 | 4.5918 |
| 0.0001 | 150.0 | 150 | 4.5832 |
| 0.0001 | 175.0 | 175 | 4.5747 |
| 0.0001 | 200.0 | 200 | 4.5668 |
| 0.0001 | 225.0 | 225 | 4.5618 |
| 0.0 | 250.0 | 250 | 4.5547 |
| 0.0 | 275.0 | 275 | 4.5493 |
| 0.0 | 300.0 | 300 | 4.5446 |
| 0.0 | 325.0 | 325 | 4.5417 |
| 0.0 | 350.0 | 350 | 4.5371 |
| 0.0 | 375.0 | 375 | 4.5340 |
| 0.0 | 400.0 | 400 | 4.5326 |
| 0.0 | 425.0 | 425 | 4.5295 |
| 0.0 | 450.0 | 450 | 4.5290 |
| 0.0 | 475.0 | 475 | 4.5282 |
| 0.0 | 500.0 | 500 | 4.5277 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- llama3.1
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024