Model save

README.md

@@ -1,10 +1,61 @@
 ---
-license: cc-by-4.0
-datasets:
-- Salesforce/xlam-function-calling-60k
-language:
-- de
-- en
-base_model:
-- meta-llama/Llama-3.2-1B
----
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: llama3.2-1B-Function-calling
+  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. -->
+
+# llama3.2-1B-Function-calling
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1491
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3083        | 0.9997 | 1687 | 0.3622          |
+| 0.202         | 2.0    | 3375 | 0.2844          |
+| 0.1655        | 2.9997 | 5061 | 0.1491          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0