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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama3_question |
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results: [] |
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library_name: peft |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llama3_question |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8999 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: bitsandbytes |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: False |
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- bnb_4bit_compute_dtype: float16 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9948 | 0.14 | 1 | 2.8184 | |
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| 2.8697 | 0.29 | 2 | 2.6592 | |
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| 2.6264 | 0.43 | 3 | 2.4946 | |
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| 2.625 | 0.57 | 4 | 2.3588 | |
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| 2.3888 | 0.71 | 5 | 2.2385 | |
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| 2.2949 | 0.86 | 6 | 2.1219 | |
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| 2.5261 | 1.0 | 7 | 2.0221 | |
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| 2.0264 | 1.14 | 8 | 1.9246 | |
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| 1.9661 | 1.29 | 9 | 1.8298 | |
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| 1.9106 | 1.43 | 10 | 1.7456 | |
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| 1.8448 | 1.57 | 11 | 1.6686 | |
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| 1.619 | 1.71 | 12 | 1.6050 | |
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| 1.5881 | 1.86 | 13 | 1.5468 | |
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| 1.6859 | 2.0 | 14 | 1.4939 | |
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| 1.4643 | 2.14 | 15 | 1.4453 | |
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| 1.4583 | 2.29 | 16 | 1.3949 | |
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| 1.4086 | 2.43 | 17 | 1.3441 | |
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| 1.3314 | 2.57 | 18 | 1.2914 | |
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| 1.3502 | 2.71 | 19 | 1.2400 | |
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| 1.226 | 2.86 | 20 | 1.1892 | |
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| 1.073 | 3.0 | 21 | 1.1445 | |
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| 1.1113 | 3.14 | 22 | 1.0995 | |
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| 1.1292 | 3.29 | 23 | 1.0570 | |
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| 1.0242 | 3.43 | 24 | 1.0164 | |
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| 0.9279 | 3.57 | 25 | 0.9826 | |
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| 0.8518 | 3.71 | 26 | 0.9617 | |
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| 1.0302 | 3.86 | 27 | 0.9491 | |
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| 1.1736 | 4.0 | 28 | 0.9418 | |
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| 0.8832 | 4.14 | 29 | 0.9352 | |
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| 0.9151 | 4.29 | 30 | 0.9301 | |
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| 0.7495 | 4.43 | 31 | 0.9256 | |
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| 0.8785 | 4.57 | 32 | 0.9220 | |
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| 0.8635 | 4.71 | 33 | 0.9180 | |
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| 0.9499 | 4.86 | 34 | 0.9150 | |
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| 0.8744 | 5.0 | 35 | 0.9125 | |
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| 0.8221 | 5.14 | 36 | 0.9093 | |
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| 0.7826 | 5.29 | 37 | 0.9064 | |
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| 0.8421 | 5.43 | 38 | 0.9047 | |
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| 0.8155 | 5.57 | 39 | 0.9029 | |
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| 0.9097 | 5.71 | 40 | 0.9010 | |
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| 0.7449 | 5.86 | 41 | 0.9003 | |
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| 0.9502 | 6.0 | 42 | 0.8999 | |
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### Framework versions |
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- PEFT 0.5.0 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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