aceb3261-5832-4825-b456-6f5439d205e9
This model is a fine-tuned version of Artples/L-MChat-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4883
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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- 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 | 0.0002 | 1 | 1.0815 |
| 1.3136 | 0.0094 | 50 | 0.8095 |
| 1.4265 | 0.0188 | 100 | 0.8006 |
| 1.3786 | 0.0282 | 150 | 0.7370 |
| 1.2386 | 0.0376 | 200 | 0.7086 |
| 1.2382 | 0.0470 | 250 | 0.7394 |
| 1.1513 | 0.0564 | 300 | 0.6122 |
| 1.1582 | 0.0658 | 350 | 0.5565 |
| 1.1062 | 0.0752 | 400 | 0.5220 |
| 1.0605 | 0.0846 | 450 | 0.4939 |
| 1.0685 | 0.0940 | 500 | 0.4883 |
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 lesso02/aceb3261-5832-4825-b456-6f5439d205e9
Base model
Artples/L-MChat-7b