End of training

README.md

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+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Llama-3.2-1B-Instruct-classifier
+  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-classifier
+
+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: 0.2160
+- Accuracy: 0.9308
+- F1: 0.8621
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0      | 0    | 1.0194          | 0.4524   | 0.3310 |
+| No log        | 0.2020 | 79   | 0.3185          | 0.8804   | 0.7508 |
+| No log        | 0.4041 | 158  | 0.2728          | 0.8948   | 0.7989 |
+| No log        | 0.6061 | 237  | 0.2436          | 0.9006   | 0.8110 |
+| No log        | 0.8082 | 316  | 0.2251          | 0.8963   | 0.7895 |
+| No log        | 1.0102 | 395  | 0.2713          | 0.8905   | 0.81   |
+| No log        | 1.2123 | 474  | 0.3203          | 0.9020   | 0.8162 |
+| 0.3016        | 1.4143 | 553  | 0.2289          | 0.9164   | 0.8324 |
+| 0.3016        | 1.6164 | 632  | 0.2306          | 0.9280   | 0.8641 |
+| 0.3016        | 1.8184 | 711  | 0.2160          | 0.9308   | 0.8621 |
+
+
+### Framework versions
+
+- Transformers 4.53.3
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.2

model.safetensors

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