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meditron-7b-wo-kqa_silver_wogold-sft
Minbyul/meditron-7b-wo-kqa_silver_wogold-sft
meditron-7b-wo-kqa_silver_wogold-sft is a text generation model from Minbyul. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024
- SHA
- e2b5caa0
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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. -->
meditron-7b-wo-kqa_silver_wogold-sft
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/deita-10k-v0-sft 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1532 | 0.87 | 5 | 1.0827 |
| 0.9871 | 1.91 | 11 | 0.9194 |
| 0.8631 | 2.61 | 15 | 0.8975 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Apr 16, 2024
- Updated
- Apr 16, 2024