MSc_llama2_finetuned_model_secondData2
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7297
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
- load_in_4bit: True
- load_in_8bit: False
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 250
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9191 | 1.33 | 10 | 3.4583 |
| 2.9769 | 2.67 | 20 | 2.3588 |
| 1.9753 | 4.0 | 30 | 1.6427 |
| 1.4615 | 5.33 | 40 | 1.1789 |
| 0.9839 | 6.67 | 50 | 0.8645 |
| 0.8058 | 8.0 | 60 | 0.7883 |
| 0.7209 | 9.33 | 70 | 0.7324 |
| 0.656 | 10.67 | 80 | 0.7005 |
| 0.5988 | 12.0 | 90 | 0.6821 |
| 0.5534 | 13.33 | 100 | 0.6761 |
| 0.5203 | 14.67 | 110 | 0.6735 |
| 0.4912 | 16.0 | 120 | 0.6733 |
| 0.4643 | 17.33 | 130 | 0.6757 |
| 0.4432 | 18.67 | 140 | 0.6820 |
| 0.4201 | 20.0 | 150 | 0.6891 |
| 0.4062 | 21.33 | 160 | 0.6964 |
| 0.3915 | 22.67 | 170 | 0.7051 |
| 0.3803 | 24.0 | 180 | 0.7066 |
| 0.371 | 25.33 | 190 | 0.7133 |
| 0.3612 | 26.67 | 200 | 0.7240 |
| 0.3587 | 28.0 | 210 | 0.7262 |
| 0.3558 | 29.33 | 220 | 0.7276 |
| 0.354 | 30.67 | 230 | 0.7279 |
| 0.3498 | 32.0 | 240 | 0.7291 |
| 0.3516 | 33.33 | 250 | 0.7297 |
Framework versions
- PEFT 0.4.0
- Transformers 4.38.2
- Pytorch 2.3.1+cu121
- Datasets 2.13.1
- Tokenizers 0.15.2
- Downloads last month
- 2
Model tree for Casper0508/MSc_llama2_finetuned_model_secondData2
Base model
meta-llama/Llama-2-7b-chat-hf