Model save

README.md

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+---
+base_model: AmeerH/FPT-Base
+library_name: peft
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: FPT_FineTune_v1.0-adapters-v2
+  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. -->
+
+# FPT_FineTune_v1.0-adapters-v2
+
+This model is a fine-tuned version of [AmeerH/FPT-Base](https://huggingface.co/AmeerH/FPT-Base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9203
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9156        | 0.5030 | 500  | 0.9203          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1