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tinyllama_moe_sft_ultrachat200k_v2
ondevicellm/tinyllama_moe_sft_ultrachat200k_v2
tinyllama_moe_sft_ultrachat200k_v2 is a text generation model from ondevicellm. 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
- mixtral
- Access
- Public
- Created
- Jan 17, 2024
- Updated
- Jan 17, 2024
- SHA
- c755285a
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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. -->
tinyllama_moe_sft_ultrachat200k_v2
This model is a fine-tuned version of ondevicellm/tinyllama_moe on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:
- Loss: 1.1593
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: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.336 | 0.09 | 100 | 1.3140 |
| 1.2426 | 0.18 | 200 | 1.2376 |
| 1.2083 | 0.26 | 300 | 1.2100 |
| 1.1862 | 0.35 | 400 | 1.1934 |
| 1.1567 | 0.44 | 500 | 1.1820 |
| 1.1777 | 0.53 | 600 | 1.1737 |
| 1.1666 | 0.61 | 700 | 1.1677 |
| 1.1531 | 0.7 | 800 | 1.1636 |
| 1.1525 | 0.79 | 900 | 1.1610 |
| 1.1396 | 0.88 | 1000 | 1.1596 |
| 1.1681 | 0.96 | 1100 | 1.1593 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.0
- Task
- Text Generation
- Library
- transformers
- Type
- mixtral
- License
- apache-2.0
- Created
- Jan 17, 2024
- Updated
- Jan 17, 2024