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phi-2-sft-ultrachat-full
lole25/phi-2-sft-ultrachat-full
phi-2-sft-ultrachat-full is a text generation model from lole25. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- phi
- Access
- Public
- Created
- Mar 7, 2024
- Updated
- Mar 9, 2024
- SHA
- 67c2b0e2
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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. -->
phi-2-sft-ultrachat-full
This model is a fine-tuned version of microsoft/phi-2 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:
- Loss: 1.1928
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 |
|---|---|---|---|
| 1.2491 | 1.0 | 3996 | 1.2346 |
| 1.1463 | 2.0 | 7993 | 1.1998 |
| 1.1623 | 3.0 | 11988 | 1.1928 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- phi
- License
- mit
- Featherless Ai
- live
- Created
- Mar 7, 2024
- Updated
- Mar 9, 2024