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cllm-0.0.2-chat-lora-01
anilguleroglu/cllm-0.0.2-chat-lora-01
cllm-0.0.2-chat-lora-01 is a machine learning model from anilguleroglu. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 7, 2025
- Updated
- Jan 7, 2025
- SHA
- 4642bc69
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. -->
cllm-0.0.2-chat-lora
This model is a fine-tuned version of anilguleroglu/cllm-0.0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9462
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0722 | 0.2454 | 500 | 1.9663 |
| 2.0479 | 0.4908 | 1000 | 1.9548 |
| 2.0602 | 0.7362 | 1500 | 1.9488 |
| 2.0569 | 0.9816 | 2000 | 1.9462 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- Created
- Jan 7, 2025
- Updated
- Jan 7, 2025