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zilo-instruct-v2-sft-filtered
Mark-Arcee/zilo-instruct-v2-sft-filtered
zilo-instruct-v2-sft-filtered is a text generation model from Mark-Arcee. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- May 24, 2024
- Updated
- May 24, 2024
- SHA
- 7c1293a2
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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. -->
zilo-instruct-v2-sft-filtered
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the arcee-ai/Zilo-Filtered-SQL-Instruct dataset. It achieves the following results on the evaluation set:
- Loss: 0.4110
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|
| 0.612 | 1.0 | 15 | 0.5663 |
| 0.4089 | 2.0 | 30 | 0.4292 |
| 0.3032 | 3.0 | 45 | 0.4110 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- May 24, 2024
- Updated
- May 24, 2024