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README.md
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---
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library_name: peft
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license: llama3.1
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base_model: meta-llama/Llama-3.1-8B-Instruct
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: llama-7b-sst-5
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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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# llama-7b-sst-5
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3537
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- Accuracy: 0.4387
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- Precision: 0.4393
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- Recall: 0.4264
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- F1: 0.4300
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.4944 | 100 | 1.7838 | 0.3397 | 0.3352 | 0.3371 | 0.3321 |
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| No log | 2.9888 | 200 | 1.5155 | 0.3960 | 0.3916 | 0.3767 | 0.3782 |
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| No log | 4.4794 | 300 | 1.4366 | 0.4169 | 0.4313 | 0.4031 | 0.4106 |
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| No log | 5.9738 | 400 | 1.3832 | 0.4287 | 0.4224 | 0.4207 | 0.4198 |
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| 5.8948 | 7.4644 | 500 | 1.3675 | 0.4369 | 0.4489 | 0.4266 | 0.4345 |
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| 5.8948 | 8.9588 | 600 | 1.3537 | 0.4387 | 0.4393 | 0.4264 | 0.4300 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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