End of training

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Llama-2-7b-hf-IDMGSP
+  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. -->
+
+# Llama-2-7b-hf-IDMGSP
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1450
+- Accuracy: {'accuracy': 0.9759036144578314}
+- F1: {'f1': 0.9758125472411187}
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                         |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
+| 0.0766        | 1.0   | 498  | 0.1165          | {'accuracy': 0.9614708835341366} | {'f1': 0.9612813721780804} |
+| 0.182         | 2.0   | 996  | 0.0934          | {'accuracy': 0.9657379518072289} | {'f1': 0.9648059816939539} |
+| 0.037         | 3.0   | 1494 | 0.1190          | {'accuracy': 0.9716365461847389} | {'f1': 0.9710182097973841} |
+| 0.0349        | 4.0   | 1992 | 0.1884          | {'accuracy': 0.96875}            | {'f1': 0.9692326702088224} |
+| 0.0046        | 5.0   | 2490 | 0.1450          | {'accuracy': 0.9759036144578314} | {'f1': 0.9758125472411187} |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.1
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+  "target_modules": [
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+  "task_type": "SEQ_CLS"
+}

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best_model/config.json

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config.json

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