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llama-2-qlora-ultrachat-200k-processed-indicator-0.6
ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6
llama-2-qlora-ultrachat-200k-processed-indicator-0.6 is a machine learning model from ucla-cmllab. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 11, 2024
- SHA
- 3f370c98
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-2-qlora-ultrachat-200k-processed-indicator-0.6
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the yihanwang617/ultrachat_200k_processed_indicator_0.6_4k dataset. It achieves the following results on the evaluation set:
- Loss: 0.8975
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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8864 | 0.9997 | 3247 | 0.8975 |
Framework versions
- PEFT 0.12.0
- Transformers 4.40.1
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- llama
- License
- llama2
- Created
- Aug 6, 2024
- Updated
- Aug 11, 2024