---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: Llama1B_stsb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama1B_stsb

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: 0.4672
- Pearson: 0.8971
- Spearman: 0.8984
- Combined Score: 0.8978

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearman | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:--------------:|
| 12.6109       | 1.0   | 180  | 0.8516          | 0.8310  | 0.8346   | 0.8328         |
| 1.0811        | 2.0   | 360  | 0.6817          | 0.8762  | 0.8756   | 0.8759         |
| 0.6641        | 3.0   | 540  | 0.6724          | 0.8695  | 0.8740   | 0.8718         |
| 0.4579        | 4.0   | 720  | 0.5094          | 0.8857  | 0.8859   | 0.8858         |
| 0.3244        | 5.0   | 900  | 0.5906          | 0.8908  | 0.8897   | 0.8903         |
| 0.2715        | 6.0   | 1080 | 0.5000          | 0.8867  | 0.8881   | 0.8874         |
| 0.1594        | 7.0   | 1260 | 0.4783          | 0.8941  | 0.8943   | 0.8942         |
| 0.102         | 8.0   | 1440 | 0.4699          | 0.8972  | 0.8975   | 0.8974         |
| 0.068         | 9.0   | 1620 | 0.4588          | 0.8973  | 0.8976   | 0.8975         |
| 0.0351        | 10.0  | 1800 | 0.4672          | 0.8971  | 0.8984   | 0.8978         |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0