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rishavranaut/llama3-8B_less_data_for_fact_update
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
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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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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metrics:
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- accuracy
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- precision
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- recall
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model-index:
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- name: llama3-8B_less_data_for_fact_update
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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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# llama3-8B_less_data_for_fact_update
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7586
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- Accuracy: 0.7733
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- Precision: 0.8015
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- Recall: 0.7267
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- F1 score: 0.7622
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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: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 4
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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: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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| 0.8492 | 0.5 | 200 | 0.8538 | 0.65 | 0.6923 | 0.54 | 0.6067 |
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| 0.7574 | 1.0 | 400 | 0.6427 | 0.7267 | 0.8036 | 0.6 | 0.6870 |
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| 0.5003 | 1.5 | 600 | 0.5917 | 0.73 | 0.7066 | 0.7867 | 0.7445 |
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| 0.4629 | 2.0 | 800 | 0.6470 | 0.7567 | 0.8235 | 0.6533 | 0.7286 |
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| 0.3114 | 2.5 | 1000 | 0.6980 | 0.6967 | 0.7438 | 0.6 | 0.6642 |
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| 0.3031 | 3.0 | 1200 | 0.6128 | 0.7567 | 0.8130 | 0.6667 | 0.7326 |
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| 0.1783 | 3.5 | 1400 | 0.7288 | 0.7667 | 0.8175 | 0.6867 | 0.7464 |
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| 0.1737 | 4.0 | 1600 | 0.7242 | 0.7533 | 0.7969 | 0.68 | 0.7338 |
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| 0.0924 | 4.5 | 1800 | 0.7214 | 0.7733 | 0.7808 | 0.76 | 0.7703 |
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| 0.0669 | 5.0 | 2000 | 0.7586 | 0.7733 | 0.8015 | 0.7267 | 0.7622 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.44.2
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 54593240
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version https://git-lfs.github.com/spec/v1
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oid sha256:820fcd323bcd65fa5de9ee36525c58e4080cee0f2c5ba9c01c17f6a58d96da3c
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size 54593240
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