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:
+- generated_from_trainer
+model-index:
+- name: Llama-3.2-1B-Instruct
+  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
+
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2812
+
+## 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: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4538        | 0.1   | 100  | 0.4046          |
+| 0.3315        | 0.2   | 200  | 0.3426          |
+| 0.3151        | 0.3   | 300  | 0.3207          |
+| 0.2916        | 0.4   | 400  | 0.3055          |
+| 0.2663        | 0.5   | 500  | 0.2964          |
+| 0.2718        | 0.6   | 600  | 0.2902          |
+| 0.3185        | 0.7   | 700  | 0.2855          |
+| 0.2546        | 0.8   | 800  | 0.2827          |
+| 0.3406        | 0.9   | 900  | 0.2813          |
+| 0.2892        | 1.0   | 1000 | 0.2812          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1