---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: prompt_tuning_sst2_text_origin_0_meta-llama-3.2-1b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# prompt_tuning_11122024064002_sst2_text_origin_0_meta-llama-3.2-1b

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1542
- Exact Match: 1.0
- F1: 1.0

## 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: 0.3
- train_batch_size: 16
- eval_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
| 0.2942        | 1.0   | 4147  | 0.2772          | 0.999       | 0.9991 |
| 0.2297        | 2.0   | 8294  | 0.2496          | 0.995       | 0.9955 |
| 0.2011        | 3.0   | 12441 | 0.1866          | 1.0         | 1.0    |
| 0.1699        | 4.0   | 16588 | 0.1678          | 1.0         | 1.0    |
| 0.1585        | 5.0   | 20735 | 0.1542          | 1.0         | 1.0    |


### Framework versions

- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3