---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- peft-factory
- full
- llama-factory
- generated_from_trainer
model-index:
- name: train_record_42_1779207275
  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. -->

# train_record_42_1779207275

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 record dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3958
- Num Input Tokens Seen: 245808128

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- 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: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
| 0.5223        | 0.2500 | 3906  | 0.4993          | 12292032          |
| 0.4299        | 0.5001 | 7812  | 0.4629          | 24620672          |
| 0.5401        | 0.7501 | 11718 | 0.4265          | 36894016          |
| 0.3044        | 1.0002 | 15624 | 0.4150          | 49176512          |
| 0.3211        | 1.2502 | 19530 | 0.4428          | 61465280          |
| 0.2995        | 1.5003 | 23436 | 0.4194          | 73739776          |
| 0.3781        | 1.7503 | 27342 | 0.4182          | 86015936          |
| 0.2566        | 2.0004 | 31248 | 0.3958          | 98341056          |
| 0.2249        | 2.2504 | 35154 | 0.4533          | 110649216         |
| 0.1628        | 2.5005 | 39060 | 0.4516          | 122910592         |
| 0.2075        | 2.7505 | 42966 | 0.4763          | 135222656         |
| 0.1128        | 3.0006 | 46872 | 0.4709          | 147516736         |
| 0.0907        | 3.2506 | 50778 | 0.5112          | 159826368         |
| 0.1686        | 3.5007 | 54684 | 0.5226          | 172084032         |
| 0.1204        | 3.7507 | 58590 | 0.4965          | 184402752         |
| 0.1592        | 4.0008 | 62496 | 0.5179          | 196687936         |
| 0.0903        | 4.2508 | 66402 | 0.6059          | 209017024         |
| 0.1712        | 4.5009 | 70308 | 0.5779          | 221278272         |
| 0.1391        | 4.7509 | 74214 | 0.5740          | 233564288         |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4