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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full-policy-tldr-llama3.1-1b

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: 0.8639

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.8779        | 1.0000 | 7295  | 0.8575          |
| 0.8714        | 1.9999 | 14590 | 0.8699          |
| 0.8589        | 2.9999 | 21885 | 0.8682          |
| 0.8574        | 4.0    | 29181 | 0.8669          |
| 0.8565        | 5.0000 | 36476 | 0.8659          |
| 0.8556        | 5.9999 | 43771 | 0.8651          |
| 0.855         | 6.9999 | 51066 | 0.8646          |
| 0.8545        | 8.0    | 58362 | 0.8642          |
| 0.8544        | 9.0000 | 65657 | 0.8640          |
| 0.8542        | 9.9997 | 72950 | 0.8639          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1