Model save

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: llama-1b-irony
+  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-1b-irony
+
+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: 0.6571
+- Accuracy: 0.6658
+- F1: 0.5112
+
+## 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: 0.0002
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 30   | 0.8135          | 0.6441   | 0.5114 |
+| No log        | 2.0   | 60   | 0.7566          | 0.6122   | 0.5529 |
+| No log        | 3.0   | 90   | 0.7246          | 0.6301   | 0.5338 |
+| No log        | 4.0   | 120  | 0.6850          | 0.6467   | 0.5249 |
+| No log        | 5.0   | 150  | 0.6739          | 0.6722   | 0.5353 |
+| No log        | 6.0   | 180  | 0.6852          | 0.6556   | 0.4706 |
+| No log        | 7.0   | 210  | 0.6446          | 0.6862   | 0.5669 |
+| No log        | 8.0   | 240  | 0.6489          | 0.6747   | 0.5487 |
+| No log        | 9.0   | 270  | 0.6449          | 0.6747   | 0.5422 |
+| No log        | 10.0  | 300  | 0.6571          | 0.6658   | 0.5112 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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