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TachyHealthResearch_-_Llama2-7B-Medical-Finetune_V2-8bits
RichardErkhov/TachyHealthResearch_-_Llama2-7B-Medical-Finetune_V2-8bits
TachyHealthResearch_-_Llama2-7B-Medical-Finetune_V2-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Mar 16, 2025
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At a glance
- Access
- Public
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- 6f0f1dd4
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama2-7B-Medical-Finetune_V2 - bnb 8bits
- Model creator: https://huggingface.co/TachyHealthResearch/
- Original model: https://huggingface.co/TachyHealthResearch/Llama2-7B-Medical-Finetune_V2/
Original model description:
base_model: meta-llama/Llama-2-7b-chat-hf tags:
- trl
- sft
- generated_from_trainer model-index:
- name: Llama2-7B-Medical-Finetune_V2 results: []
<!-- 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. -->
Llama2-7B-Medical-Finetune_V2
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0369
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: 0.00025
- train_batch_size: 26
- eval_batch_size: 26
- seed: 42
- gradient_accumulation_steps: 26
- total_train_batch_size: 676
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2907 | 0.3 | 100 | 1.1620 |
| 1.1355 | 0.59 | 200 | 1.1211 |
| 1.1063 | 0.89 | 300 | 1.0957 |
| 1.0724 | 1.19 | 400 | 1.0780 |
| 1.0489 | 1.49 | 500 | 1.0633 |
| 1.0359 | 1.78 | 600 | 1.0512 |
| 1.0228 | 2.08 | 700 | 1.0447 |
| 0.9924 | 2.38 | 800 | 1.0401 |
| 0.9906 | 2.68 | 900 | 1.0375 |
| 0.9863 | 2.97 | 1000 | 1.0369 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025