rishavranaut/Llama3_less_data_SUPNT

README.md

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+---
+license: llama3
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: Llama3_less_data_SUPNT
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Llama3_less_data_SUPNT
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.9354
+- Accuracy: 0.7867
+- Precision: 0.7443
+- Recall: 0.8733
+- F1 score: 0.8037
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.487         | 1.0   | 200  | 0.6341          | 0.7833   | 0.7640    | 0.82   | 0.7910   |
+| 0.2565        | 2.0   | 400  | 0.7592          | 0.7833   | 0.7429    | 0.8667 | 0.8      |
+| 0.1559        | 3.0   | 600  | 0.7008          | 0.79     | 0.7514    | 0.8667 | 0.8050   |
+| 0.1054        | 4.0   | 800  | 0.8348          | 0.79     | 0.7486    | 0.8733 | 0.8062   |
+| 0.051         | 5.0   | 1000 | 0.9354          | 0.7867   | 0.7443    | 0.8733 | 0.8037   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.44.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.safetensors

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