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llama2-13b-news-gen
fernandals/llama2-13b-news-gen
llama2-13b-news-gen is a machine learning model from fernandals. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 5f032193
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 NousResearch/Llama-2-13b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7605
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: 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: 10
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6794 | 0.1 | 25 | 1.6358 |
| 1.6218 | 0.21 | 50 | 1.5895 |
| 1.6211 | 0.31 | 75 | 1.5559 |
| 1.5658 | 0.41 | 100 | 1.5291 |
| 1.5722 | 0.52 | 125 | 1.5006 |
| 1.5555 | 0.62 | 150 | 1.4762 |
| 1.5135 | 0.72 | 175 | 1.4504 |
| 1.5607 | 0.82 | 200 | 1.4317 |
| 1.5449 | 0.93 | 225 | 1.4058 |
| 1.4032 | 1.03 | 250 | 1.3746 |
| 1.3898 | 1.13 | 275 | 1.3365 |
| 1.3305 | 1.24 | 300 | 1.3098 |
| 1.3502 | 1.34 | 325 | 1.2836 |
| 1.3796 | 1.44 | 350 | 1.2635 |
| 1.3519 | 1.55 | 375 | 1.2330 |
| 1.3051 | 1.65 | 400 | 1.2084 |
| 1.3192 | 1.75 | 425 | 1.1841 |
| 1.3232 | 1.86 | 450 | 1.1621 |
| 1.3408 | 1.96 | 475 | 1.1412 |
| 1.1116 | 2.06 | 500 | 1.0925 |
| 1.107 | 2.16 | 525 | 1.0628 |
| 1.0926 | 2.27 | 550 | 1.0387 |
| 1.0772 | 2.37 | 575 | 1.0121 |
| 1.0742 | 2.47 | 600 | 0.9918 |
| 1.109 | 2.58 | 625 | 0.9706 |
| 1.0826 | 2.68 | 650 | 0.9479 |
| 1.0857 | 2.78 | 675 | 0.9281 |
| 1.0705 | 2.89 | 700 | 0.9112 |
| 1.0742 | 2.99 | 725 | 0.8928 |
| 0.8945 | 3.09 | 750 | 0.8542 |
| 0.861 | 3.2 | 775 | 0.8344 |
| 0.8869 | 3.3 | 800 | 0.8198 |
| 0.8357 | 3.4 | 825 | 0.8039 |
| 0.8726 | 3.51 | 850 | 0.7924 |
| 0.8857 | 3.61 | 875 | 0.7809 |
| 0.8437 | 3.71 | 900 | 0.7702 |
| 0.8384 | 3.81 | 925 | 0.7637 |
| 0.819 | 3.92 | 950 | 0.7605 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Library
- peft
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024