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llama2-docsum-adapter
themanas021/llama2-docsum-adapter
llama2-docsum-adapter is a text generation model from themanas021. Use it when you need the model to write or continue text. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 19, 2023
Repo size
67.2 MB
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1
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Repo makeup
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.safetensors67.1 MB · 97%
At a glance
- Task
- Text Generation
- License
- mit
- Access
- Public
- Created
- Dec 14, 2023
- Updated
- Dec 19, 2023
- SHA
- 13141adb
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Base models
Datasets
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. -->
llama2-docsum-adapter
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7568
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0125 | 0.42 | 13 | 0.9909 |
| 0.8517 | 0.83 | 26 | 0.8135 |
| 0.7423 | 1.25 | 39 | 0.7766 |
| 0.5581 | 1.66 | 52 | 0.7568 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Generation
- License
- mit
- Languages
- en
- Created
- Dec 14, 2023
- Updated
- Dec 19, 2023