Downloads · 30 days
2
3% of all-time downloads
Llama-3.1-8B-Instruct-combined_airline_retail_data
lemonhat/Llama-3.1-8B-Instruct-combined_airline_retail_data
Llama-3.1-8B-Instruct-combined_airline_retail_data is a text generation model from lemonhat. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
All-time downloads
71
Public
Parameters
8B
16.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors16.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- llama
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- fb348bc9
Try a prompt
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. -->
combined_airline_retail_data
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the combined_airline_retail_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.2332
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3697 | 0.0576 | 100 | 0.3134 |
| 0.3211 | 0.1152 | 200 | 0.3008 |
| 0.2531 | 0.1728 | 300 | 0.2935 |
| 0.2501 | 0.2304 | 400 | 0.2819 |
| 0.3091 | 0.2880 | 500 | 0.2718 |
| 0.2668 | 0.3456 | 600 | 0.2720 |
| 0.2285 | 0.4032 | 700 | 0.2554 |
| 0.2622 | 0.4608 | 800 | 0.2608 |
| 0.239 | 0.5184 | 900 | 0.2547 |
| 0.2245 | 0.5760 | 1000 | 0.2480 |
| 0.309 | 0.6336 | 1100 | 0.2443 |
| 0.2651 | 0.6912 | 1200 | 0.2395 |
| 0.2404 | 0.7488 | 1300 | 0.2353 |
| 0.3365 | 0.8065 | 1400 | 0.2355 |
| 0.2872 | 0.8641 | 1500 | 0.2345 |
| 0.2592 | 0.9217 | 1600 | 0.2336 |
| 0.2056 | 0.9793 | 1700 | 0.2337 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- other
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025