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--- |
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license: llama3 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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datasets: |
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- generator |
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model-index: |
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- name: cls_finred_llama3_v1 |
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results: [] |
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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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# cls_finred_llama3_v1 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4061 |
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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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### 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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7071 | 0.1116 | 20 | 0.6759 | |
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| 0.6162 | 0.2232 | 40 | 0.6174 | |
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| 0.6143 | 0.3347 | 60 | 0.5845 | |
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| 0.5753 | 0.4463 | 80 | 0.5507 | |
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| 0.5712 | 0.5579 | 100 | 0.5225 | |
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| 0.5216 | 0.6695 | 120 | 0.5105 | |
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| 0.4931 | 0.7810 | 140 | 0.4920 | |
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| 0.482 | 0.8926 | 160 | 0.4733 | |
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| 0.4562 | 1.0042 | 180 | 0.4624 | |
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| 0.3635 | 1.1158 | 200 | 0.4631 | |
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| 0.3619 | 1.2273 | 220 | 0.4538 | |
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| 0.351 | 1.3389 | 240 | 0.4452 | |
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| 0.3458 | 1.4505 | 260 | 0.4392 | |
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| 0.3397 | 1.5621 | 280 | 0.4290 | |
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| 0.298 | 1.6736 | 300 | 0.4278 | |
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| 0.2902 | 1.7852 | 320 | 0.4196 | |
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| 0.3425 | 1.8968 | 340 | 0.4061 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
