fedf2c0e-0136-4109-9798-c8325ffde7b7
This model is a fine-tuned version of Qwen/Qwen1.5-14B-Chat on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3560
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0004 | 1 | 4.3035 |
| 1.4421 | 0.0184 | 50 | 1.6612 |
| 1.4402 | 0.0368 | 100 | 1.5571 |
| 1.3421 | 0.0552 | 150 | 1.5231 |
| 1.3408 | 0.0736 | 200 | 1.4979 |
| 1.2905 | 0.0920 | 250 | 1.4550 |
| 1.2334 | 0.1104 | 300 | 1.4277 |
| 1.2774 | 0.1287 | 350 | 1.3971 |
| 1.2919 | 0.1471 | 400 | 1.3676 |
| 1.2688 | 0.1655 | 450 | 1.3582 |
| 1.2712 | 0.1839 | 500 | 1.3560 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso18/fedf2c0e-0136-4109-9798-c8325ffde7b7
Base model
Qwen/Qwen1.5-14B-Chat