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tinyllama-1.1b-mt-sft-qlora
martimfasantos/tinyllama-1.1b-mt-sft-qlora
tinyllama-1.1b-mt-sft-qlora is a machine learning model from martimfasantos. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- May 20, 2024
- Updated
- May 20, 2024
- SHA
- 56b60137
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-1.1b-mt-sft-qlora
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the haoranxu/ALMA-Human-Parallel dataset. It achieves the following results on the evaluation set:
- Loss: 1.7228
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- 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_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.639 | 1.0 | 739 | 1.7224 |
| 1.571 | 2.0 | 1478 | 1.7228 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- Type
- llama
- License
- apache-2.0
- Created
- May 20, 2024
- Updated
- May 20, 2024