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llama-tweet
stibiu/llama-tweet
llama-tweet is a machine learning model from stibiu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jun 10, 2024
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At a glance
- License
- llama3
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- 0d23ab58
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-tweet
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0190
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.334 | 0.0075 | 20 | 2.9963 |
| 1.4622 | 0.0149 | 40 | 1.4038 |
| 1.5365 | 0.0224 | 60 | 1.1542 |
| 1.0904 | 0.0298 | 80 | 1.1056 |
| 0.5901 | 0.0373 | 100 | 1.1066 |
| 1.2178 | 0.0447 | 120 | 1.0601 |
| 0.8568 | 0.0522 | 140 | 1.0527 |
| 1.4505 | 0.0596 | 160 | 1.0579 |
| 1.026 | 0.0671 | 180 | 1.0441 |
| 0.5462 | 0.0745 | 200 | 1.0531 |
| 1.212 | 0.0820 | 220 | 1.0366 |
| 0.8079 | 0.0895 | 240 | 1.0311 |
| 1.466 | 0.0969 | 260 | 1.0333 |
| 1.0033 | 0.1044 | 280 | 1.0281 |
| 0.5643 | 0.1118 | 300 | 1.0264 |
| 1.1797 | 0.1193 | 320 | 1.0232 |
| 0.8372 | 0.1267 | 340 | 1.0210 |
| 1.4117 | 0.1342 | 360 | 1.0209 |
| 1.0041 | 0.1416 | 380 | 1.0193 |
| 0.5658 | 0.1491 | 400 | 1.0190 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.10.1
- Tokenizers 0.19.1
- License
- llama3
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024