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README.md
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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_v3
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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_v3
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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: 0.4113
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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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| 0.7177 | 0.1116 | 20 | 0.6751 |
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| 0.6323 | 0.2232 | 40 | 0.6166 |
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| 0.6119 | 0.3347 | 60 | 0.5802 |
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| 0.5471 | 0.4463 | 80 | 0.5532 |
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| 0.5299 | 0.5579 | 100 | 0.5321 |
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| 0.5265 | 0.6695 | 120 | 0.5062 |
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| 0.5306 | 0.7810 | 140 | 0.4888 |
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| 0.5094 | 0.8926 | 160 | 0.4764 |
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| 0.4769 | 1.0042 | 180 | 0.4640 |
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| 0.342 | 1.1158 | 200 | 0.4644 |
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| 0.3271 | 1.2273 | 220 | 0.4534 |
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| 0.342 | 1.3389 | 240 | 0.4448 |
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| 0.3659 | 1.4505 | 260 | 0.4395 |
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| 0.3159 | 1.5621 | 280 | 0.4284 |
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| 0.3356 | 1.6736 | 300 | 0.4248 |
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| 0.3476 | 1.7852 | 320 | 0.4165 |
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| 0.3168 | 1.8968 | 340 | 0.4113 |
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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
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