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300STEPS_5e7rate_Meditron_7B_SFT_zeroshot
tsavage68/300STEPS_5e7rate_Meditron_7B_SFT_zeroshot
300STEPS_5e7rate_Meditron_7B_SFT_zeroshot is a text generation model from tsavage68. 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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256
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6.7B
13.5 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Feb 11, 2024
- Updated
- Feb 11, 2024
- SHA
- 0b7c3724
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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. -->
300STEPS_5e7rate_Meditron_7B_SFT
This model is a fine-tuned version of epfl-llm/meditron-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3127
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: 5e-07
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2096 | 0.1 | 50 | 1.1770 |
| 0.7177 | 0.2 | 100 | 0.6260 |
| 0.3357 | 0.29 | 150 | 0.3221 |
| 0.3191 | 0.39 | 200 | 0.3142 |
| 0.3195 | 0.49 | 250 | 0.3128 |
| 0.3195 | 0.59 | 300 | 0.3127 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Feb 11, 2024
- Updated
- Feb 11, 2024