End of training

README.md

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+---
+base_model: meta-llama/Llama-3.2-1B-Instruct
+library_name: peft
+license: llama3.2
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Llama-3.2-1B-Instruct-SchemaLinking-v1
+  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-3.2-1B-Instruct-SchemaLinking-v1
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0956
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 14
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3641        | 0.4668 | 500  | 0.1527          |
+| 0.1066        | 0.9336 | 1000 | 0.1083          |
+| 0.0794        | 1.4004 | 1500 | 0.0963          |
+| 0.0739        | 1.8672 | 2000 | 0.0872          |
+| 0.058         | 2.3341 | 2500 | 0.0910          |
+| 0.057         | 2.8009 | 3000 | 0.0859          |
+| 0.0432        | 3.2678 | 3500 | 0.0895          |
+| 0.0452        | 3.7346 | 4000 | 0.0890          |
+| 0.0406        | 4.2014 | 4500 | 0.0944          |
+| 0.0363        | 4.6682 | 5000 | 0.0956          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0