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
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