Final model with entity-aware chunking

README.md

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+---
+library_name: peft
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B
+tags:
+- base_model:adapter:meta-llama/Llama-3.1-8B
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: ner-lora-llama31-8b-entity-aware
+  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. -->
+
+# ner-lora-llama31-8b-entity-aware
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2018
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0301        | 0.4968 | 1529 | 0.1547          |
+| 0.0141        | 0.9937 | 3058 | 0.1698          |
+| 0.0021        | 1.4903 | 4587 | 0.2018          |
+
+
+### Framework versions
+
+- PEFT 0.18.0
+- Transformers 4.57.3
+- Pytorch 2.9.1+cu128
+- Datasets 4.4.2
+- Tokenizers 0.22.1

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