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Cold-Rec-LLama-2-7B
bilkultheek/Cold-Rec-LLama-2-7B
Cold-Rec-LLama-2-7B is a machine learning model from bilkultheek. 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
- Aug 5, 2024
- Updated
- Aug 12, 2024
- SHA
- 8033b4e2
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. -->
Cold-Rec-LLama-2-7B
This model is a fine-tuned version of ahxt/llama1_s_1.8B_experimental on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0777
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: 0.001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2217 | 1.992 | 249 | 0.2119 |
| 0.1599 | 3.984 | 498 | 0.1558 |
| 0.1177 | 5.976 | 747 | 0.1157 |
| 0.0842 | 7.968 | 996 | 0.0875 |
| 0.075 | 9.96 | 1245 | 0.0776 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Aug 5, 2024
- Updated
- Aug 12, 2024